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News

31.01.2015

Professor Erkki Oja, leader of the CBIR group, retired.

01.02.2015

Professor Juha Karhunen started as the new leader of the CBIR group.

The Content-Based Image and Information Retrieval Group

The scientifically challenging objective of content-based image and information retrieval (CBIR) is the autonomous adaptation to the user's preferences and conceptions regarding the relevance and similarity of images and other media objects. Autonomous adaptation can be achieved by examining the user's reactions on the retrieval results in the form of relevance feedback.

Main research areas

Since 1998, we have developed a framework for content-based information retrieval research named the PicSOM system. The research has been and will be three-fold: algorithm development, international evaluations and applications. We will continue to study the basic principles of effective algorithms that implement the Query by Example paradigm in connection with relevance feedback from the user.

We will also study other paradigms such as query by sketch and query by pointing. These modalities will be required in our joint multimodal interfaces initiative of AIRC. A key concept in the methodological developments will be the utilization of automatic segmentation or location of interest points in the images or other information objects. After the segmentation, relevance feedback from the user and other forms of auxiliary or cross-modal information can be focused on specific subparts of the objects.

Personnel

Current


Professor leading the research group: Other members:

Alumni

Visitors

Projects

Current

Past

Courses

Current academic year

Past

Data, Videos, Demos

Freely available datasets related to our research can be found here.

Freely available software related to our research can be found here.

Freely available videos and demonstrators related to our research can be found here.

Some extended results related to our research can be found here.

Publications

2012

125Matti Karppa, Tommi Jantunen, Ville Viitaniemi, Jorma Laaksonen, Birgitta Burger, and Danny De Weerdt. Comparing computer vision analysis of signed language video with motion capture recordings. In Proceedings of 8th Language Resources and Evaluation Conference (LREC 2012), Istanbul, Turkey, May 2012.
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2011

124Mats Sjöberg, Satoru Ishikawa, Markus Koskela, Jorma Laaksonen, and Erkki Oja. PicSOM experiments in TRECVID 2011. In Proceedings of the TRECVID 2011 Workshop, Gaithersburg, MD, USA, December 2011. Available online at http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
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123Timo Honkela, Oskar Kohonen, Jorma Laaksonen, Krista Lagus, Klaus Förger, Mats Sjöberg, Tapio Takala, Harri Valpola, and Paul Wagner. Learning semantics of movement. In Neural Information Processing Systems (NIPS 2011) Workshop Book, page 22, Granada, Spain, December 2011. Abstract. Available online at http://media.nips.cc/Conferences/2011/NIPS-Workshops-Book-2011.pdf.
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122Xi Chen and Markus Koskela. Mobile visual search from dynamic image databases. In Proceedings of Scandinavian Conference on Image Analysis (SCIA 2011), Ystad, Sweden, May 2011.
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121Sanna Malinen, Siina Pamilo, Pia Tikka, Yevhen Hlushcuk, Markus Koskela, Jorma Laaksonen, and Riitta Hari. FMRI correlates of essential movie-content extraction by an automatic algorithm and an expert viewer. In Abstracts of the Opportunities and Challenges in Social Neuroscience conference, pages 56–57, Utrecht, Germany, March 2011. Utrecht University. Abstract. Available online at http://www.uu.nl/faculty/socialsciences/NL/Actueel/Agenda/Documents/Program%20Conference%20version%20March%202011.pdf.
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120He Zhang, Teemu Ruokolainen, Jorma Laaksonen, Christina Hochleitner, and Rudolf Traunmüller. Gaze- and speech-enhanced content-based image retrieval in image tagging. In Proceedings of 21st International Conference on Artificial Neural Networks (ICANN 2011), Espoo, Finland, 2011.
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119He Zhang, Eimontas Augilius, Timo Honkela, Jorma Laaksonen, Hannes Gamper, and Henok Alene. Analyzing emotional semantics of abstract art using low-level image features. In Proceedings of 10th International Symposium on Intelligent Data Analysis (IDA 2011). Springer, 2011.
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118He Zhang, Mats Sjöberg, Jorma Laaksonen, and Erkki Oja. A multimodal information collector for content-based image retrieval system. In Proceedings of 18th International Conference on Neural Information Processing (ICONIP 2011). Springer, 2011.
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117Mats Sjöberg and Jorma Laaksonen. Analysing the structure of semantic concepts in visual databases. In Jorma Laaksonen and Timo Honkela, editors, Advances in Self-Organizing Maps, volume 6731 of Lecture Notes in Computer Science, pages 338–347. Springer, 2011.
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See dx.doi.org ...
116Timo Honkela, Jorma Laaksonen, Hannele Törrö, and Juhani Tenhunen. Media map: A multilingual document map with a design interface. In Proceedings of 8th International Workshop on Self-Organizing Maps (WSOM 2011), Espoo, Finland, 2011.
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115Matti Karppa, Tommi Jantunen, Markus Koskela, Jorma Laaksonen, and Ville Viitaniemi. Method for visualisation and analysis of hand and head movements in sign language video. In C. Kirchhof, Z. Malisz, and P. Wagner, editors, Proceedings of the 2nd Gesture and Speech in Interaction conference (GESPIN 2011), Bielefeld, Germany, 2011. Available online as http://coral2.spectrum.uni-bielefeld.de/gespin2011/final/Jantunen.pdf.
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2010

114Mats Sjöberg, Markus Koskela, Milen Chechev, and Jorma Laaksonen. PicSOM experiments in TRECVID 2010. In Proceedings of the TRECVID 2010 Workshop, Gaithersburg, MD, USA, November 2010. Available online at http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
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113Ville Viitaniemi and Jorma Laaksonen. Region matching techniques for spatial bag of visual words based image category recognition. In Proceedings of 20th International Conference on Artificial Neural Networks (ICANN 2010), volume 6352 of Lecture Notes in Computer Science, pages 531–540, Thessaloniki, Greece, September 2010. Springer Verlag.
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112Mats Sjöberg, Markus Koskela, Ville Viitaniemi, and Jorma Laaksonen. PicSOM experiments in ImageCLEF RobotVision. In Devrim Ünay, Zehra Çataltepe, and Selim Aksoy, editors, Recognizing Patterns in Signals, Speech, Images and Videos, volume 6388 of Lecture Notes in Computer Science, pages 190–199, Istanbul, Turkey, August 2010. Springer Berlin / Heidelberg.
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See dx.doi.org ...
111Mats Sjöberg, Markus Koskela, Ville Viitaniemi, and Jorma Laaksonen. Indoor location recognition using fusion of SVM-based visual classifiers. In Proceedings of 2010 IEEE International Workshop on Machine Learning for Signal Processing, pages 343–348, Kittilä, Finland, August-September 2010.
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110Ville Viitaniemi, Mats Sjöberg, Markus Koskela, and Jorma Laaksonen. Automatic video search using semantic concepts. In Proceedings of 8th European Conference on Interactive TV and Video (EuroITV 2010), Tampere, Finland, June 2010.
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109Xi Chen, Markus Koskela, and Jouko Hyväkkä. Image based information access for mobile phones. In Proceedings of 8th International Workshop on Content-Based Multimedia Indexing, Grenoble, France, June 2010.
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108Peter Auer, Zakria Hussain, Samuel Kaski, Arto Klami, Jussi Kujala, Jorma Laaksonen, Alex P. Leung, Kitsuchart Pasupa, and John Shawe-Taylor. Pinview: Implicit feedback in content-based image retrieval. In Proceedings of ICML Workshop on Reinforcement Learning and Search in Very Large Spaces, Haifa, Israel, June 2010.
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107Tommi Jantunen, Markus Koskela, Jorma Laaksonen, and Päivi Rainò. Towards automated visualization and analysis of signed language motion: Method and linguistic issues. In Proceedings of 5th International Conference on Speech Prosody, Chicago, Ill. (USA), May 2010.
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2009

106Mats Sjöberg, Ville Viitaniemi, Markus Koskela, and Jorma Laaksonen. PicSOM experiments in TRECVID 2009. In Proceedings of the TRECVID 2009 Workshop, Gaithersburg, MD, USA, November 2009. Available online at http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
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105Ville Viitaniemi and Jorma Laaksonen. Spatial extensions to bag of visual words. In Proceedings of ACM International Conference on Image and Video Retrieval (CIVR 2009), Fira, Greece, July 2009.
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104Ville Viitaniemi and Jorma Laaksonen. Combining local feature histograms of different granularities. In Proceedings of 16th Scandinavian Conference on Image Analysis (SCIA 2009), volume 5575 of Lecture Notes in Computer Science, pages 636–645, Oslo, Norway, 2009. Springer Verlag.
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103Zhirong Yang and Jorma Laaksonen. Informative Laplacian projection. In Proceedings of 16th Scandinavian Conference on Image Analysis (SCIA 2009), volume 5575 of Lecture Notes in Computer Science, pages 359–368, Oslo, Norway, 2009. Springer Verlag.
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102Markus Koskela, Mats Sjöberg, and Jorma Laaksonen. Improving automatic video retrieval with semantic concept detection. In Proceedings of 16th Scandinavian Conference on Image Analysis (SCIA 2009), volume 5575 of Lecture Notes in Computer Science, pages 480–489, Oslo, Norway, 2009. Springer Verlag.
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101Mats Sjöberg and Jorma Laaksonen. Optimal combination of SOM search in best-matching units and map neighborhood. In Proceedings of 7th International Workshop on Self-Organizing Maps (WSOM 2009), volume 5629 of Lecture Notes in Computer Science, pages 281–289, St. Augustine, Florida, USA, 2009. Springer. Available online at: http://dx.doi.org/10.1007/978-3-642-02397-2_32.
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100Philip Prentis, Mats Sjöberg, Markus Koskela, and Jorma Laaksonen. Image theft detection with self-organising maps. In Proceedings of 19th International Conference on Artificial Neural Networks (ICANN 2009), volume 5768 of Lecture Notes in Computer Science, pages 495–504, Limassol, Cyprus, 2009. Springer Verlag. Available online at: http://dx.doi.org/10.1007/978-3-642-04274-4_52.
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99Ville Viitaniemi and Jorma Laaksonen. Representing images with distance based histograms of SIFT descriptors. In Proceedings of 19th International Conference on Artificial Neural Networks (ICANN 2009), volume 5769 of Lecture Notes in Computer Science, pages 694–703, Limassol, Cyprus, 2009. Springer Verlag.
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2008

98Markus Koskela, Mats Sjöberg, Ville Viitaniemi, and Jorma Laaksonen. PicSOM experiments in TRECVID 2008. In Proceedings of the TRECVID 2008 Workshop, Gaithersburg, MD, USA, November 2008. Available online at http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
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97Marcin Blachnik and Jorma Laaksonen. Image classification by histogram features created with learning vector quantization. In Proceedings of International Conference on Artificial Neural Networks (ICANN'08), pages 827–836, September 2008.
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96Ville Viitaniemi and Jorma Laaksonen. Experiments on selection of codebooks for local image feature histograms. In Monica Sebillo, Giuliana Vitiello, and Gerald Schaefer, editors, Proceedings of the 10th International Conference on Visual Information Systems (VISUAL 2008), volume 5188 of Lecture Notes in Computer Science, pages 126–137, Salerno, Italy, September 2008. Springer Verlag.
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95Ville Viitaniemi and Jorma Laaksonen. Techniques for image classification, object detection and object segmentation. In Monica Sebillo, Giuliana Vitiello, and Gerald Schaefer, editors, Proceedings of the 10th International Conference on Visual Information Systems (VISUAL 2008), volume 5188 of Lecture Notes in Computer Science, pages 231–234, Salerno, Italy, September 2008. Springer.
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94Yrjö Rauste, Anne Lönnqvist, Matthieu Molinier, Heikki Ahola, Jaan Praks, Teemu Tares, Jorma Laaksonen, Kirsi Karila, and Mika Karjalainen. NewSAR project, final report 1.7.2006–31.5.2008. Technical Report VTT-R-05074-08, VTT, June 2008.
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93Ville Viitaniemi, Mats Sjöberg, Markus Koskela, and Jorma Laaksonen. Exploiting temporal and inter-concept co-occurrence structure to detect high-level features in broadcast videos. In Proceedings of 9th International Workshop on Image Analysis for Multimedia Interactive Services (WIAMIS 2008), pages 12–15, Klagenfurt, Austria, May 2008.
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92Markus Koskela, Jorma Laaksonen, Tommi Jantunen, Ritva Takkinen, Päivi Rainò, and Antti Raike. Content-based video analysis and access for finnish sign language – a multidisciplinary research project. In Proceedings of 3rd Workshop on the Representation and Processing of Sign Languages at 6th Language Resources and Evaluation Conference (LREC 2008), pages 101–104, Marrakech, Morocco, May-June 2008.
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91Matthieu Molinier, Ville Viitaniemi, Markus Koskela, Jorma Laaksonen, Yrjö Rauste, Anne Lönnqvist, and Tuomas Häme. Improving content-based target and change detection in Alos Palsar images with efficient feature selection. In Proceedings of ESA-EUSC 2008: Image Information Mining. ESA, March 2008.
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90Zhirong Yang and Jorma Laaksonen. Principal whitened gradient for information geometry. Neural Networks, 21(2-3):232–240, 2008.
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89Mats Sjöberg, Jorma Laaksonen, Timo Honkela, and Matti Pöllä. Inferring semantics from textual information in multimedia retrieval. Neurocomputing, 71(13–15):2576–2586, 2008.
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88Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, Jason D. R. Farquhar, Mátyás Brendel, Bálint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hernández Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marin Castro, Hermann Ney, Xiaguang Rui, Nicu Sebe, Julian Stöttinger, and Lei Wu. Overview of the ImageCLEF 2007 object retrieval task. In Advances in Multilingual and Multimodal Information Retrieval, volume 5152 of Lecture Notes in Computer Science, pages 445–471, Budapest, Hungary, 2008. Springer.
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2007

87Zhirong Yang, Zhijian Yuan, and Jorma Laaksonen. Projective non-negative matrix factorization with applications to facial image processing. International Journal on Pattern Recognition and Artificial Intelligence, 21(8):1353–1362, December 2007.
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86Ville Viitaniemi and Jorma Laaksonen. Improving the accuracy of global feature fusion based image categorisation. In Bianca Falcidieno, Michela Spagnuolo, Yannis S. Avrithis, Ioannis Kompatsiaris, and Paul Buitelaar, editors, Proceedings of the 2nd International Conference on Semantic and Digital Media Technologies (SAMT 2007), volume 4669 of Lecture Notes in Computer Science, pages 1–14, Genova, Italy, December 2007. Springer.
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85Markus Koskela, Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, and Philip Prentis. PicSOM experiments in TRECVID 2007. In Proceedings of the TRECVID 2007 Workshop, Gaithersburg, MD, USA, November 2007. Available online at http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
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84Zhirong Yang and Jorma Laaksonen. Face recognition using Parzenfaces. In Proceedings of International Conference on Artificial Neural Networks (ICANN'07), volume 4669 of Lecture Notes in Computer Science, pages 200–209, Porto, Portugal, September 2007. Springer.
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83Markus Koskela, Mats Sjöberg, Jorma Laaksonen, Ville Viitaniemi, and Hannes Muurinen. Rushes summarization with self-organizing maps. In Proceedings of the TRECVID Workshop on Video Summarization (TVS'07), pages 45–49, Augsburg, Germany, September 2007. ACM Press. Available online at http://dx.doi.org/10.1145/1290031.1290039.
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82Thomas Deselaers, Allan Hanbury, Ville Viitaniemi, Andr'as Bencz'ur, M'aty'as Brendel, B'alint Daróczy, Hugo Jair Escalante Balderas, Theo Gevers, Carlos Arturo Hern'andez Gracidas, Steven C. H. Hoi, Jorma Laaksonen, Mingjing Li, Heidy Marisol Marin Castro, Hermann Ney, Xiaoguang Rui, Nicu Sebe, Julian Stöttinger, and Lei Wu. Overview of the ImageCLEF 2007 Object Retrieval Task. In Working notes of the CLEF 2007 Workshop, Budapest, Hungary, September 2007.
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81Ville Viitaniemi and Jorma Laaksonen. Thoughts on evaluation of image retrieval inspired by ImageCLEF 2007 object retrieval task. In Proceedings of 3rd MUSCLE/ImageCLEF Workshop on Image and Video Retrieval Evaluation, Budapest, Hungary, September 2007. Available online at http://muscle.prip.tuwien.ac.at/.
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80Markus Koskela, Alan F. Smeaton, and Jorma Laaksonen. Measuring concept similarities in multimedia ontologies: Analysis and evaluations. IEEE Transactions on Multimedia, 9(5):912–922, August 2007.
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79Zhirong Yang and Jorma Laaksonen. Approximated geodesic updates with principal natural gradients. In Proceedings of The 2007 International Joint Conference on Neural Networks (IJCNN 2007), pages 1320–1325, Orlando, USA, August 2007.
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78Matthieu Molinier, Jorma Laaksonen, Yrjö Rauste, and Tuomas Häme. Detecting changes in polarimetric SAR data with content-based image retrieval. In Proceedings of IEEE International Geoscience And Remote Sensing Symposium, Barcelona, Spain, July 2007. IEEE.
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77Ville Viitaniemi and Jorma Laaksonen. Evaluating the performance in automatic image annotation: example case by adaptive fusion of global image features. Signal Processing: Image Communications, 22(6):557–568, July 2007.
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76Markus Koskela and Alan F. Smeaton. An empirical study of inter-concept similarities in multimedia ontologies. In Proceedings of the 6th ACM international conference on Image and video retrieval (CIVR 2007), pages 464–471, Amsterdam, The Netherlands, July 2007. ACM Press.
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75Zhirong Yang and Jorma Laaksonen. Regularized neighborhood component analysis. In Proceedings of 15th Scandinavian Conference on Image Analysis (SCIA), pages 253–262, Aalborg, Denmark, June 2007.
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74Hannes Muurinen and Jorma Laaksonen. Video segmentation and shot boundary detection using self-organizing maps. In Proceedings of 15th Scandinavian Conference on Image Analysis (SCIA 2007), pages 770–779, Aalborg, Denmark, June 2007.
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73Ville Viitaniemi and Jorma Laaksonen. Evaluating performance of automatic image annotation: example case by fusing global image features. In Proceedings of Fifth International Workshop on Content-Based Multimedia Indexing (CBMI 2007), pages 251–258, Bordeaux, France, June 2007.
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72Ville Viitaniemi and Jorma Laaksonen. Empirical investigations on benchmark tasks for automatic image annotation. In Proceedings of the 9th International Conference on Visual Information Systems (VISUAL 2007), volume 4781 of Lecture Notes in Computer Science, pages 93–104. Springer, June 2007.
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71Matthieu Molinier, Jorma Laaksonen, and Tuomas Häme. Detecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on self-organizing maps. IEEE Transactions on Geoscience and Remote Sensing, 45(4):861–874, April 2007.
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70Matthieu Molinier, Jorma Laaksonen, and Tuomas Häme. Change detection. GEO: connexion, 6(3):36–38, March 2007.
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69Hannes Muurinen. Video segmentation and shot boundary detection using self-organizing maps. Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 2007.
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68Zhirong Yang and Jorma Laaksonen. Multiplicative updates for non-negative projections. Neurocomputing, 71(1-3):363–373, 2007.
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67Jorma Laaksonen, Markus Koskela, Mats Sjöberg, Ville Viitaniemi, and Hannes Muurinen. Video summarization with SOMs. In Proceedings of the 6th Int. Workshop on Self-Organizing Maps (WSOM 2007), Bielefeld, Germany, 2007. Available online at http://dx.doi.org/10.2390/biecoll-wsom2007-143.
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66Philip Prentis. GalSOM - colour-based image browsing and retrieval with tree-structured self-organising maps. In Proceedings of the 6th Int. Workshop on Self-Organizing Maps (WSOM 2007), Bielefeld, Germany, 2007. Available online at http://biecoll.ub.uni-bielefeld.de/volltexte/2007/164/index_en.html.
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2006

65Ville Viitaniemi and Jorma Laaksonen. Use of image regions in context-adaptive image classification. In Yannis Avrithis, Steffen Staab, and Noel O'Connor, editors, Proceedings of the 1st International Conference on Semantic and Digital Media Technologies (SAMT 2006), Lecture Notes in Computer Science, pages 169–183, Athens, Greece, December 2006. Springer.
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64Emilie Garnaud, Alan F. Smeaton, and Markus Koskela. Evaluation of a video annotation tool based on the LSCOM ontology. In Yannis Avrithis, Steffen Staab, and Noel O'Connor, editors, Proceedings of the 1st International Conference on Semantic and Digital Media Technologies (SAMT 2006), Lecture Notes in Computer Science, pages 35–36, Athens, Greece, December 2006. Springer.
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63Mats Sjöberg, Hannes Muurinen, Jorma Laaksonen, and Markus Koskela. PicSOM experiments in TRECVID 2006. In Proceedings of the TRECVID 2006 Workshop, Gaithersburg, MD, USA, November 2006. Available online at http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
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62Matthieu Molinier, Jorma Laaksonen, and Tuomas Häme. Self-organising maps for change detection and monitoring of human activity in satellite imagery. In Proceedings of ESA-EUSC 2006: Image Information Mining for Security and Intelligence, Madrid, Spain, November 2006.
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61Jorma Laaksonen and Ville Viitaniemi. Emergence of ontological relations from visual data with self-organizing maps. In Timo Honkela, Tapani Raiko, Jukka Kortela, and Harri Valpola, editors, Proceedings of the 9th Scandinavian Conference on Artificial Intelligence (SCAI 2006), pages 31–38, Espoo, Finland, October 2006.
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60Zhirong Yang and Jorma Laaksonen. A fast fixed-point algorithm for two-class discriminative feature extraction. In Proceedings of 16th International Conference on Artificial Neural Networks (ICANN 2006), Part II, pages 330–339, Athens, Greece, September 2006. Springer.
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59Mats Sjöberg, Jorma Laaksonen, Matti Pöllä, and Timo Honkela. Retrieval of multimedia objects by combining semantic information from visual and textual descriptors. In Proceedings of 16th International Conference on Artificial Neural Networks (ICANN 2006), pages 75–83, Athens, Greece, September 2006. Springer. Available online at http://dx.doi.org/10.1007/11840930_8.
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58Ville Viitaniemi and Jorma Laaksonen. Techniques for still image scene classification and object detection. In Proceedings of 16th International Conference on Artificial Neural Networks (ICANN 2006), volume 2, pages 35–44, Athens, Greece, September 2006. Springer.
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57Matthieu Molinier, Jorma Laaksonen, and Tuomas Häme. A self-organizing map framework for detection of man-made structures and changes in satellite imagery. In Proceedings of IEEE International Geoscience And Remote Sensing Symposium, Denver, Colorado, August 2006. IEEE.
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56Markus Koskela and Alan F. Smeaton. Clustering-based analysis of semantic concept models for video shots. In International Conference on Multimedia & Expo (ICME 2006), Toronto, Canada, July 2006.
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55Markus Koskela and Jorma Laaksonen. Semantic concept detection from news videos with self-organizing maps. In Ilias Maglogiannis, Kostas Karpouzis, and Max Bramer, editors, Proceedings of 3rd IFIP Conference on Artificial Intelligence Applications and Innovations, pages 591–599, Athens, Greece, June 2006. IFIP, Springer.
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54Mats Sjöberg, Ville Viitaniemi, Jorma Laaksonen, and Timo Honkela. Analysis of semantic information available in an image collection augmented with auxiliary data. In Ilias Maglogiannis, Kostas Karpouzis, and Max Bramer, editors, Proceedings of 3rd IFIP Conference on Artificial Intelligence Applications and Innovations, pages 600–608, Athens, Greece, June 2006. IFIP, Springer. Available online at http://dx.doi.org/10.1007/0-387-34224-9_70.
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53Markus Koskela, Alan F. Smeaton, and Georgina Gaughan. Semantic analysis of concept models for news videos. In Workshop on Visual Categorisation and Image Management Systems (VCIMS 2006), Sunderland, UK, June 2006.
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52Mats Sjöberg. Content-based retrieval of hierarchical objects with PicSOM. Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 2006.
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51Mark Everingham, Andrew Zisserman, Christopher K. I. Williams, Luc Van Gool, Moray Allan, Christopher M. Bishop, Olivier Chapelle, Navneet Dalal, Thomas Deselaers, Gyuri Dorkó, Stefan Duffner, Jan Eichhorn, Jason D. R. Farquhar, Mario Fritz, Christophe Garcia, Tom Griffiths, Frederic Jurie, Thomas Keysers, Markus Koskela, Jorma Laaksonen, Diane Larlus, Bastian Leibe, Hongying Meng, Hermann Ney, Bernt Schiele, Cordelia Schmid, Edgar Seemann, John Shawe-Taylor, Amos Storkey, Sandor Szedmak, Bill Triggs, Ilkay Ulusoy, Ville Viitaniemi, and Jianguo Zhang. The 2005 PASCAL visual object classes challenge. In Joaquin Quinonero-Candela, Ido Dagan, Bernardo Magnini, and Florence d'Alche Buc, editors, Machine Learning Challenges. Evaluating Predictive Uncertainty, Visual Object Classification, and Recognizing Textual Entailment, volume 3944, pages 117–176. Springer, 2006.
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2005

50Ville Viitaniemi and Jorma Laaksonen. Keyword-detection approach to automatic image annotation. In Proceedings of 2nd European Workshop on the Integration of Knowledge, Semantic and Digital Media Technologies (EWIMT 2005), pages 15–22, London, UK, November 2005.
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49Markus Koskela, Jorma Laaksonen, Mats Sjöberg, and Hannes Muurinen. PicSOM experiments in TRECVID 2005. In Proceedings of the TRECVID 2005 Workshop, pages 262–270, Gaithersburg, MD, USA, November 2005. Available online at http://www-nlpir.nist.gov/projects/tvpubs/tv.pubs.org.html.
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48Matthieu Molinier, Jorma Laaksonen, Jussi Ahola, and Tuomas Häme. Self-organizing map application for retrieval of man-made structures in remote sensing data. In Proceedings of ESA-EUSC 2005: Image Information Mining – Theory and Application to Earth Observation, Frascat, Italy, October 2005.
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47Mats Sjöberg and Jorma Laaksonen. Content-based retrieval of web pages and other hierarchical objects with Self-Organizing Maps. In Proceedings of 15th International Conference on Artificial Neural Networks (ICANN 2005), pages 841–846, Warsaw, Poland, September 2005. Available online at http://dx.doi.org/10.1007/11550907_133.
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46Zhirong Yang and Jorma Laaksonen. Partial relevance in interactive facial image retrieval. In Proceedings of 3rd International Conference on Advances in Pattern Recognition (ICAPR 2005), pages 216–225, Bath, UK, August 2005.
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45Markus Koskela and Jorma Laaksonen. Semantic annotation of image groups with Self-Organizing Maps. In Proceedings of 4th International Conference on Image and Video Retrieval (CIVR 2005), pages 518–527, Singapore, July 2005.
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44Jorma Laaksonen, Ville Viitaniemi, and Markus Koskela. Emergence of semantic concepts in visual databases. In Proceedings of International and Interdisciplinary Conference on Adaptive Knowledge Representation and Reasoning (AKRR 05), pages 127–134, Espoo, Finland, June 2005.
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43Jorma Laaksonen, Ville Viitaniemi, and Markus Koskela. Application of Self-Organizing Maps and automatic image segmentation to 101 object categories database. In Proceedings of Fourth International Workshop on Content-Based Multimedia Indexing (CBMI 2005), Riga, Latvia, June 2005.
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42Zhirong Yang and Jorma Laaksonen. Approximated classification in interactive facial image retrieval. In Proceedings of 14th Scandinavian Conference on Image Analysis (SCIA 2005), pages 770–779, Joensuu, Finland, June 2005.
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41Zhirong Yang and Jorma Laaksonen. Interactive retrieval in facial image database using Self-Organizing Maps. In Proceedings of IAPR Conference on Machine Vision Applications (MVA 2005), pages 112–115, Tsukuba Science City, Japan, May 2005.
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40Rami Rautkorpi. Shape features in the classification and retrieval of surface defect images. Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 2005.
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2004

39Jorma Laaksonen, Markus Koskela, and Erkki Oja. Class distributions on SOM surfaces for feature extraction and object retrieval. Neural Networks, 17(8-9):1121–1133, October-November 2004.
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38Markus Koskela, Jorma Laaksonen, and Erkki Oja. Entropy-based measures for clustering and SOM topology preservation applied to content-based image indexing and retrieval. In Proceedings of 17th International Conference on Pattern Recognition (ICPR 2004), volume 2, pages 1005–1008, Cambridge, UK, August 2004.
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37Markus Koskela, Jorma Laaksonen, and Erkki Oja. Use of image subset features in image retrieval with self-organizing maps. In Proceedings of 3rd International Conference on Image and Video Retrieval (CIVR 2004), pages 508–516, Dublin, Ireland, July 2004.
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36Timo Ojala, Markus Koskela, Esa Matinmikko, Mika Rautiainen, Jorma Laaksonen, and Erkki Oja. Task-based user evaluation of content-based image database browsing systems. In Proceedings of 3rd International Conference on Image and Video Retrieval (CIVR 2004), pages 234–242, Dublin, Ireland, July 2004.
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2003

35Markus Koskela. Interactive Image Retrieval using Self-Organizing Maps. PhD thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, November 2003. Available online at: http://lib.hut.fi/Diss/2003/isbn9512267659/.
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34Jorma Laaksonen, Markus Koskela, and Erkki Oja. Probability interpretation of distributions on SOM surfaces. In Proceedings of Workshop on Self-Organizing Maps (WSOM'03), pages 77–82, Hibikino, Kitakyushu, Japan, September 2003.
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33Ville Viitaniemi and Jorma Laaksonen. Content-based browsing of mail-order catalogue with PicSOM system. In Proceedings of the Ninth International Conference on Distributed Multimedia Systems / The 2003 Conference on Visual Information Systems (VIS'2003), pages 381–386, Miami, FL, USA, September 2003.
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32Mika Rummukainen, Jorma Laaksonen, and Markus Koskela. An efficiency comparison of two content-based image retrieval systems, GIFT and PicSOM. In Proceedings of International Conference on Image and Video Retrieval (CIVR 2003), volume 2728, pages 500–509, Urbana, IL, USA, July 2003. Springer Verlag.
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31Mats Sjöberg, Jorma Laaksonen, and Ville Viitaniemi. Using image segments in PicSOM CBIR system. In Proceedings of 13th Scandinavian Conference on Image Analysis (SCIA 2003), volume 2749, pages 1106–1113, Halmstad, Sweden, June/July 2003. Springer Verlag. Available online at http://www.springerlink.com/content/65xgpgqc9cjquqcl/.
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30Markus Koskela, Jorma Laaksonen, and Erkki Oja. Inter-query relevance learning in PicSOM for content-based image retrieval. In Supplementary Proceedings of 13th International Conference on Artificial Neural Networks / 10th International Conference on Neural Information Processing (ICANN/ICONIP 2003), pages 520–523, Istanbul, Turkey, June 2003.
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29Markus Koskela and Jorma Laaksonen. Using long-term learning to improve efficiency of content-based image retrieval. In Proceedings of Third International Workshop on Pattern Recognition in Information Systems (PRIS 2003), pages 72–79, Angers, France, April 2003.
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28Mika Rummukainen. Implementing multimedia retrieval markup language for image retrieval systems' comparison. Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 2003.
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2002

27Ville Viitaniemi and Jorma Laaksonen. Browsing an electronic mail-order catalogue with PicSOM content-based image retrieval system. In Proceedings of 10th Finnish Artificial Intelligence Conference (STEP 2002), pages 170–181, Oulu, Finland, December 2002.
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26Sami Brandt, Jorma Laaksonen, and Erkki Oja. Statistical shape features for content-based image retrieval. Journal of Mathematical Imaging and Vision, 17(2):187–198, September 2002.
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25Markus Koskela, Jorma Laaksonen, and Erkki Oja. Using MPEG-7 descriptors in image retrieval with self-organizing maps. In Proceedings of 16th International Conference on Pattern Recognition, volume 2, pages 1049–1052, Quebec, Canada, August 2002.
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24Markus Koskela, Jorma Laaksonen, and Erkki Oja. Implementing relevance feedback as convolutions of local neighborhoods on self-organizing maps. In Proceedings of International Conference on Artificial Neural Networks, pages 981–986, Madrid, Spain, August 2002.
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23Jorma Laaksonen, Markus Koskela, and Erkki Oja. PicSOM—Self-organizing image retrieval with MPEG-7 content descriptions. IEEE Transactions on Neural Networks, Special Issue on Intelligent Multimedia Processing, 13(4):841–853, July 2002.
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22Markus Koskela, Jorma Laaksonen, and Erkki Oja. MPEG-7 descriptors in content-based image retrieval with PicSOM system. In Proceedings of 5th International Conference on Visual Information System, pages 247–258, HsinChu, Taiwan, March 2002.
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21Jussi Pakkanen. Sisältöpohjainen haku paperivirhetietokannassa PicSOM-järjestelmän avulla (in Finnish). Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 2002.
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20Ville Viitaniemi. Image segmentation in content-based image retrieval. Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 2002.
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2001

19Markus Koskela, Jorma Laaksonen, and Erkki Oja. Self-organizing image retrieval with MPEG-7 descriptors. In Proceedings of Infotech Oulu International Workshop on Information Retrieval, pages 151–160, Oulu, Finland, September 2001.
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18Jorma Laaksonen, Markus Koskela, Sami Laakso, and Erkki Oja. Self-organizing maps as a relevance feedback technique in content-based image retrieval. Pattern Analysis & Applications, 4(2+3):140–152, June 2001.
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17Sami Laakso, Jorma Laaksonen, Markus Koskela, and Erkki Oja. Self-organizing maps of web link information. In Nigel Allinson, Hujun Yin, Lesley Allinson, and Jon Slack, editors, Advances in Self-Organising Maps, pages 146–151, Lincoln, England, June 2001. Springer.
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16Markus Koskela, Jorma Laaksonen, and Erkki Oja. Comparison of techniques for content-based image retrieval. In Proceedings of 12th Scandinavian Conference on Image Analysis (SCIA 2001), pages 579–586, Bergen, Norway, June 2001.
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15Markus Koskela, Jorma Laaksonen, and Erkki Oja. PicSOM content-based image retrieval system - comparison of techniques. In Proceedings of 3rd European Workshop on Image Analysis for Multimedia Interactive Services, pages 89–94, Tampere, Finland, May 2001.
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2000

14Jorma Laaksonen, Markus Koskela, Sami Laakso, and Erkki Oja. PicSOM – Content-based image retrieval with self-organizing maps. Pattern Recognition Letters, 21(13-14):1199–1207, December 2000.
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13Markus Koskela, Jorma Laaksonen, Sami Laakso, and Erkki Oja. Evaluating the performance of content-based image retrieval systems. In Fourth International Conference on Visual Information Systems (VISual 2000), pages 430–441, Lyon, France, November 2000. Springer-Verlag.
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12Jorma Laaksonen, Erkki Oja, Markus Koskela, and Sami Brandt. Analyzing low-level visual features using content-based image retrieval. In Proceedings of 7th International Conference on Neural Information Processing (ICONIP 2000), volume 2, pages 1333–1338, Taejon, Korea, November 2000.
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11Sami Brandt, Jorma Laaksonen, and Erkki Oja. Statistical shape features in content-based image retrieval. In Proceedings of 15th International Conference on Pattern Recognition, volume 2, pages 1066–1069, Barcelona, Spain, September 2000.
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10Markus Koskela, Jorma Laaksonen, Sami Laakso, and Erkki Oja. Content-based image indexing and retrieval: The PicSOM system. In The 9th Finnish Artificial Intelligence Conference (STeP 2000). 'AI of Tomorrow': Symposium on Theory, pages 219–226, Espoo, Finland, August 2000.
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9Markus Koskela, Jorma Laaksonen, Sami Laakso, and Erkki Oja. The PicSOM retrieval system: Description and evaluations. In John P. Eakins and Peter G. B. Enser, editors, Proceedings of Challenge of Image Retrieval 2000, Brighton, UK, May 2000.
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8Sami Laakso. Implementation of content-based www image search engine. Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 2000.
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1999

7Jorma Laaksonen, Markus Koskela, and Erkki Oja. Application of tree structured self-organizing maps in content-based image retrieval. In Ninth International Conference on Artificial Neural Networks (ICANN99), pages 174–179, Edinburgh, UK, September 1999.
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6Jorma Laaksonen, Markus Koskela, and Erkki Oja. PicSOM: Self-organizing maps for content-based image retrieval. In 1999 International Joint Conference on Neural Networks (IJCNN'99), pages 2470–2473, Washington, DC, July 1999.
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5Jorma Laaksonen, Markus Koskela, and Erkki Oja. PicSOM - a framework for content-based image database retrieval using self-organizing maps. In 11th Scandinavian Conference on Image Analysis (SCIA99), pages 151–156, Kangerlussuaq, Greenland, June 1999.
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4Jorma Laaksonen, Markus Koskela, and Erkki Oja. Content-based image retrieval using self-organizing maps. In Third International Conference on Visual Information Systems (VISual'99), pages 541–548, Amsterdam, The Netherlands, June 1999. Springer-Verlag.
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3Erkki Oja, Jorma Laaksonen, Markus Koskela, and Sami Brandt. Self-organizing maps for content-based image retrieval. In Erkki Oja and Samuel Kaski, editors, Kohonen Maps, pages 349–362. Elsevier, 1999.
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2Markus Koskela. Content-based image retrieval with self-organizing maps. Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 1999.
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1Sami Brandt. Use of shape features in content-based image retrieval. Master's thesis, Laboratory of Computer and Information Science, Helsinki University of Technology, 1999.
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