PicSOM experiments in TRECVID 2012

2012 TREC Video Retrieval Evaluation Notebook Papers

Volumn , Issue , 2012, Pages

  Sjöberg, Mats ^a   Ishikawa, Satoru ^a   Koskela, Markus ^a   Laaksonen, Jorma ^a   Oja, Erkki ^a  

^a AALTO UNIVERSITY   (Finland)

Author keywords

[No Author keywords available]

Indexed keywords

CONTENT BASED RETRIEVAL; EXPERIMENTS; INDEXING (OF INFORMATION); METADATA; NATURAL LANGUAGE PROCESSING SYSTEMS;

BETTER PERFORMANCE; LINEAR CLASSIFIERS; LOCAL DESCRIPTORS; MAP APPROXIMATION; NONLINEAR CLASSIFIERS; PAIRWISE MATCHING; SEMANTIC INDEXING; SVM-BASED CLASSIFIERS;

SEARCH ENGINES;

EID: 84905227468     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (16)

1. Paul Over, George Awad, Martial Michel, Jonathan Fiscus, Greg Sanders, Barbara Shaw, Wessel Kraaij, Alan F. Smeaton, and Georges Queenot. Trecvid 2012 - an overview of the goals, tasks, data, evaluation mechani sms and metrics. In Proceedings of TRECVID 2012. NIST, USA, 2012.
2. Mats 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.
3. Mats 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.
4. Stéphane Ayache and Georges Qúenot. Video corpus annotation using active learning. In Proceedings of 30th European Conference on Information Retrieval (ECIR'08), pages 187-198, Glasgow, UK, March- April 2008.
5. Markus 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.
6. Chih-Chung Chang and Chih-Jen Lin. LIBSVM: a library for support vector machines, 2001. Software available at http://www.csie.ntu.edu.tw/cjlin/libsvm.
7. A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. In Proceedings of the IEEE Conf. on Computer Vision and Pattern Recognition (CVPR 2010), 2010.
8. A. Vedaldi and A. Zisserman. Efficient additive kernels via explicit feature maps. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 34(3):480-492, march 2012.
9. A. Vedaldi and B. Fulkerson. VLFeat: A library of computer vision algorithms. http://www.vlfeat.org/.
10. R.E. Fan, K.W. Chang, C.J. Hsieh, X.R. Wang, and C.J. Lin. LIBLINEAR: A library for large linear classification. Journal of Machine Learning Research, 9:1871-1874, 2008.
11. Emine Yilmaz, Evangelos Kanoulas, and Javed A. Aslam. A simple and efficient sampling method for estimating AP and NDCG. In Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (SIGIR '08), pages 603-610, 2008.
12. Jorma Laaksonen, Markus Koskela, and Erkki Oja. PicSOM-Selforganizing image retrieval with MPEG-7 content descriptions. IEEE Transactions on Neural Networks, 13(4):841-853, July 2002.
13. J. Sivic and A. Zisserman. Video Google: A text retrieval approach to object matching in videos. In Proc. of ICCV'03, volume 2, pages 1470-1477, October 2003.
14. D. Nistér and H. Stewénius. Scalable recognition with a vocabulary tree. In Proceedings of IEEE CVPR 2006, volume 2, pages 2161-2168, 2006.
15. Xi 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.
16. Mats 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.