Title: | Visual category detection: an experimental perspective Visuaalisten kategorioiden tunnistaminen: kokeellinen näkökulma |
Author(s): | Viitaniemi, Ville |
Date: | 2012 |
Language: | en |
Pages: | 322 |
Department: | Tietojenkäsittelytieteen laitos Department of Information and Computer Science |
ISBN: | 978-952-60-4586-3 (electronic) 978-952-60-4585-6 (printed) |
Series: | Aalto University publication series DOCTORAL DISSERTATIONS, 45/2012 |
ISSN: | 1799-4942 (electronic) 1799-4934 (printed) 1799-4934 (ISSN-L) |
Supervising professor(s): | Oja, Erkki, Prof. |
Thesis advisor(s): | Laaksonen, Jorma, Dr. |
Subject: | Computer science |
Keywords: | computer vision, image analysis, visual category, feature fusion, local image descriptor, konenäkö, kuva-analyysi, visuaalinen kategoria, piirrefuusio, paikallinen kuvapiirre |
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Abstract:Nykyaika tuottaa jatkuvasti valtavia määriä visuaalista digitaalista aineistoa. Jotta näistä suurista tietoaineistoista voitaisiin automaattisesti löytää käyttökelpoista informaatiota, olisi löydettävä jonkinlainen vastaus tietokonenäön pitkäaikaiseen peruskysymykseen: kuinka saada tietokoneet ymmärtämään kuvien sisältöä? |
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Parts:[Publication 1]: Ville Viitaniemi and Jorma Laaksonen. Techniques for still image scene classification and object detection. In Proceedings of the International Conference on Artificial Neural Networks (ICANN 2006), Part II, pages 35-44, Athens, Greece, September 2006.[Publication 2]: Ville Viitaniemi and Jorma Laaksonen. Techniques for image classification, object detection and object segmentation. In Proceedings of the 10th International Conference on Visual Information Systems (VISUAL 2008), pages 231-234, Salerno, Italy, September 2008.[Publication 3]: Ville Viitaniemi and Jorma Laaksonen. Evaluating the performance in automatic image annotation: example case by adaptive fusion of global image features. Signal Processing: Image Communication, Volume 22, issue 6, pages 557-568, July 2007.[Publication 4]: Ville Viitaniemi and Jorma Laaksonen. Improving the accuracy of global feature fusion based image categorisation. In Proceedings of the 2nd International Conference on Semantic and Digital Media Technologies (SAMT 2007), pages 1-14, Genova, Italy, December 2007.[Publication 5]: Mats Sjöberg, Markus Koskela, Ville Viitaniemi and Jorma Laaksonen. Indoor location recognition using fusion of SVM-based visual classifiers. In Proceedings of the 2010 IEEE International Workshop on Machine Learning for Signal Processing, pages 343-348, Kittilä, Finland, August-September 2010.[Publication 6]: Ville Viitaniemi, Mats Sjöberg, Markus Koskela and Jorma Laaksonen. Concept-based video search with the PicSOM multimedia retrieval system. Technical report TKK-ICS-R39, Aalto University, December 2010.[Publication 7]: Ville Viitaniemi and Jorma Laaksonen. Experiments on selection of codebooks for local image feature histograms. In Proceedings of the 10th International Conference on Visual Information Systems (VISUAL 2008), pages 126-137, Salerno, Italy, September 2008.[Publication 8]: Ville Viitaniemi and Jorma Laaksonen. Combining local feature histograms of different granularities. In Proceedings of the 16th Scandinavian Conference on Image Analysis (SCIA 2009), pages 636-645, Oslo, Norway, June 2009.[Publication 9]: Ville Viitaniemi and Jorma Laaksonen. Spatial extensions to bag of visual words. In Proceedings of the ACM International Conference on Image and Video Retrieval (CIVR 2009), Fira, Greece, July 2009.[Publication 10]: Ville Viitaniemi and Jorma Laaksonen. Region matching techniques for spatial bag of visual words based image category recognition. In Proceedings of the 20th International Conference on Artificial Neural Networks (ICANN 2010), Part I, pages 531-540, Thessaloniki, Greece, September 2010.[Publication 11]: Ville Viitaniemi and Jorma Laaksonen. Representing images with chi2 distance based histograms of SIFT descriptors. In Proceedings of the 19th International Conference on Artificial Neural Networks (ICANN 2009), Part II, pages 694-703, Limassol, Cyprus, September 2009. |
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