Fisher kernel based relevance feedback for multimodal video retrieval

ICMR 2013 - Proceedings of the 3rd ACM International Conference on Multimedia Retrieval

Volumn , Issue , 2013, Pages 65-72

  Mironicǎ, Ionuţ ^a   Ionescu, Bogdan ^a   Uijlings, Jasper ^b   Sebe, Nicu ^b  

^a UNIVERSITY POLITEHNICA OF BUCHAREST   (Romania)

^b UNIVERSITY OF TRENTO   (Italy)

Author keywords

fisher kernels; multimodal video retrieval; relevance feedback

Indexed keywords

FEATURE DISTRIBUTION; FEATURE VECTORS; FISHER KERNELS; LOG LIKELIHOOD; RELEVANCE FEEDBACK; RELEVANCE FEEDBACK TECHNIQUES; TEMPORAL INFORMATION; VIDEO RETRIEVAL;

DATA PROCESSING; PROBABILITY DISTRIBUTIONS;

IMAGE RETRIEVAL;

EID: 84877618360     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/2461466.2461478     Document Type: Conference Paper

References (35)

1. A. W. Smeulders, M. Worring, S. Santini, A. Gupta, R. Jain: "Content-based Image Retrieval at the End of the Early years", IEEE Trans. PAMI, 2000.
2. T. Jaakkola, D. Haussler: "Exploiting generative models in discriminative classifiers", In Advances in Neural Information Processing Systems 1999.
3. F. Perronnin, J. Sanchez, T. Mensink: "Improving the Fisher Kernel for Large-Scale Image Classification", ECCV, 2010.
4. F. Perronnin, J.A. Rodriguez-Serrano, "Fisher Kernels for Handwritten Word-spotting", 10th International Conference on Document Analysis and Recognition Pages 106-110, 2009.
5. P. Moreno and R. Rifkin. "Using the Fisher kernel method for web audio classification", International Conference on Acoustics, Speech, and Signal Processing, pages 2417-2420, 2000.
6. http://www.multimediaeval.org/mediaeval2012/
7. A. F. Smeaton, P. Over, W. Kraaij: "High-Level Feature Detection from Video in TRECVid: a 5-Year Retrospective of Achievements", Springer Series on Multimedia Content Analysis Theory and Applications, pp. 151-174, 2009.
8. http://trec.nist.gov
9. J. Rocchio: "Relevance Feedback in Information Retrieval", The Smart Retrieval System Experiments in Automatic Document Processing, G. Salton (Ed.), Prentice Hall, Englewood Cliffs NJ, pp. 313-323, 1971.
10. N. V. Nguyen, J.-M. Ogier, S. Tabbone, A. Boucher: "Text Retrieval Relevance Feedback Techniques for Bag-of-Words Model in CBIR", ICMLPR, 2009.
11. Y. Rui, T. S. Huang, M. Ortega, M. Mehrotra, S. Beckman: "Relevance feedback: a power tool for interactive content-based image retrieval", IEEE Transactions on Circuits and Video Technology, 1998.
12. S. Liang, Z. Sun: "Sketch retrieval and relevance feedback with biased SVM classification", Pattern Recognition Letters, 29, pp. 1733-1741, 2008.
13. G. Giacinto: "A Nearest-Neighbor Approach to Relevance Feedback in Content-Based Image Retrieval", ACM Confenference on Image and Video Retrieval, 2007.
14. J. Yu, Y. Lu, Y. Xu, N. Sebe, Q. Tian: "Integrating Relevance Feedback in Boosting for Content-Based Image Retrieval", ASSP, 2007.
15. Y. Wu, A. Zhang: "Interactive pattern analysis for relevance feedback in multimedia information retrieval", Multimedia Systems, 10(1), pp. 41-55, 2004. (Pubitemid 40672172)
16. L. Yuanhua Lv, C. Zhai: "Adaptive Relevance Feedback in Information Retrieval", Information and Knowledge Management Conference, 2009.
17. W. Bian, D. Tao: "Biased discriminant euclidean embedding for content-based image retrieval", IEEE Trans. Image Process., 545-554, 2010.
18. D. Tao, X. Li, S. Maybank: "Negative samples analysis in relevance feedback" IEEE Trans. Knowl. Data Eng., 568-580, 2010.
19. A. G. Hauptmann, M. G. Christel, and R. Yan: "Video retrieval based on semantic concepts", Proceedings of the IEEE, vol. 96, pp. 602-622, 2008.
20. T. Mei, B. Yang, X. Hua, S. Li: "Contextual Video Recommendation by Multimodal Relevance and User Feedback", Information Systems (TOIS), 2011.
21. B. Ionescu, K. Seyerlehner, I. Mironica, C. Vertan, P. Lambert: "An Audio-Visual Approach to Web Video Categorization", MTAP, 2012.
22. I. Mironica, B. Ionescu, C. Vertan: "The influence of the similarity measure to relevance feedback", in Proceedings of the European Signal Processing Conference, Eusipco 2012.
23. S.H. Cha: "Comprehensive Survey on Distance/Similarity Measures Between Probability Density Functions", Int. Journal of Mathematical Models and Methods in Applied Sciences, 2007.
24. Y. Rubner, C. Tomasi, L. J. Guibas: "A Metric for Distributions with Applications to Image Databases", European Conference on Computer Vision, 1998.
25. E. Deza, M.M. Deza: "Dictionary of Distances", Elsevier Science, 1st edition, 2006.
26. M. Hatzigiorgaki, A. N. Skodras: "Compressed Domain Image Retrieval: A Comparative Study of Similarity Metrics", SPIE Visual Communications and Image Processing, vol. 5150, 2003.
27. P. Kelm, S. Schmiedeke, T. Sikora, "Feature-based video key frame extraction for low quality video sequences", WIAMIS, 2009.
28. K. Seyerlehner, M. Schedl, T. Pohle, P. Knees: "Using Block Level Features for Genre Classification, Tag Classification and Music Similarity Estimation", Music Information Retrieval Evaluation eXchange, 2010.
29. C. Liu, L. Xie, H. Meng: "Classification of music and speech in mandarin news broadcasts", Conf. on Machine Speech Communication 2007.
30. Yaafe core features, http://yaafe.sourceforge.net/
31. T. Sikora: "The MPEG-7 Visual Standard for Content Description - An Overview", IEEE Transactions on Circuits and Systems for Video Technology, 2001.
32. O. Ludwig, D. Delgado, V. Goncalves, U. Nunes: "Trainable Classifier-Fusion Schemes: An Application To Pedestrian Detection", IEEE Int. Conference On Intelligent Transportation Systems, 1, pp. 432-437, 2009.
33. C. Rasche: "An Approach to the Parameterization of Structure for Fast Categorization", Int. Journal of Computer Vision, 87(3), pp. 337-356, 2010.
34. S. Nowak, M. Huiskes: "New strategies for image annotation: Overview of the photo annotation task at ImageClef 2010", In the Working Notes of CLEF 2010.
35. L. Lamel, J.-L. Gauvain: "Speech Processing for Audio Indexing", Int. Conf. on Natural Language Processing, LNCS, 5221, pp. 4-15, Springer Verlag, 2008.