Utilizing related samples to learn complex queries in interactive concept-based video search

CIVR 2010 - 2010 ACM International Conference on Image and Video Retrieval

Volumn , Issue , 2010, Pages 66-73

  Yuan, Jin ^a   Zha, Zheng Jun ^a   Zhao, Zhengdong ^a   Zhou, Xiangdong ^b   Chua, Tat Seng ^a  

^a NATIONAL UNIVERSITY OF SINGAPORE   (Singapore)

^b FUDAN UNIVERSITY   (China)

Author keywords

Concept based video search; Interactive search; Related sample

Indexed keywords

COMPLEX QUERIES; CONCEPT-BASED VIDEO SEARCH; DATA SETS; INCREMENTAL LEARNING; INTERACTIVE SEARCH; REAL-WORLD; RELATED SAMPLE; SEARCH RESULTS; TRECVID; VIDEO DATASETS; VIDEO SEGMENTS; YOUTUBE;

FEEDBACK; IMAGE SEGMENTATION;

DETECTORS;

EID: 77955855951     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1816041.1816053     Document Type: Conference Paper

References (29)

1. Google video search. http://video.google.com/.
2. Microsoft bing video search. http://www.bing.com/videos.
3. Yahoo! video search. http://video.search.yahoo.com/.
4. R. Aly, D. Hiemstra, and R. Ordelmann. Building detectors to support searches on combined semantic concepts. In Proceedings of the SIGIR workshop on Multimedia Information Retrieval, 2007.
5. S.-F. Chang, W. Hsu, W. Jiang, L. S. Kennedy, D. Xu, A. Yanagawa, and E. Zavesky. Columbia university trecvid-2006 video search and high-level feature extraction. TRECVID Workshop, 2006.
6. A. G. Hauptmann, W.-H. Lin, R. Yan, J. Yang, and M.-Y. Chen. Extreme video retrieval: joint maximization of human and computer performance. In Proceedings of ACM International Conference on Multimedia, 2006.
7. Y.-G. Jiang, C.-W. Ngo, and S.-F. Chang. Semantic context transfer across heterogeneous sources for domain adaptive video search. In Proceedings of ACM International Conference on Multimedia, 2009.
8. Y.-G. Jiang, J. Yang, C.-W. Ngo, and A. G. Hauptmann. Representations of keypoint-based semantic concept detection: A comprehensive study. IEEE Transactions on Multimedia, 2009.
9. M. Koskela, M. Sjoberg, and J. Laaksonen. Improving automatic video retrieval with semantic concept detection. Scandinavian Conference on Image Analysis, 2009.
10. H. Luan, Y. Zheng, S.-Y. Neo, Y. Zhang, S. Lin, and T. seng Chua. Adaptive multiple feedback strategies for interactive video search. In Proceedings of ACM International Conference on Image and Video Retrieval, 2008.
11. T. Mei and e. a. Zheng-Jun Zha. Msra at trecvid 2008: High-level feature extraction and automatic search. In NIST TRECVID Workshop (TRECVID), 2008.
12. M. Naphade and J.R. Smith. Large-scale concept ontology for multimedia. 2006.
13. S.-Y. Neo, J. Zhao, M.-Y. Kan, and T.-S. Chua. Video retrieval using high level features: Exploiting query matching and confidence-based weighting. In Proceedings of ACM International Conference on Image and Video Retrieval, 2006.
14. J. Pickens, J. Adcock, M. Cooper, and A. Girgensohn. Fxpal interactive search experiments for trecvid 2008. TRECvid 2008 Working Notes, 2008.
15. G.-J. Qi, X.-S. Hua, Y. Rui, J. Tang, T. Mei, and H.-J. Zhang. Correlative multi-label video annotation. In Proceedings of ACM International Conference on Multimedia, 2007.
16. C. Snoek, B. Huurnink, L. Hollink, M. de Rijke, G. Schreiber, and M. Worring. Adding semantics to detectors for video retrieval. IEEE Transactions on Multimedia, 2007.
17. C. Snoek, K. van de Sande, O. de Rooij, B. Huurnink, and J. van Gemert et. al. The mediamill trecvid 2008 semantic video search engine. TRECvid 2008 Working Notes, 2008.
18. C. Snoek and M. Worring. Concept-based video retrieval. Foundations and Trends ® in Information Retrieval, 2009.
19. C. Snoek, M. Worring, J. C. van Gemert, J.-M. Geusebroek, and A. W. M. Smeulders. The challenge problem for automated detection of 101 semantic concepts in multimedia. In Proceedings of ACM International Conference on Multimedia, 2006.
20. J. Tang, X.-S. Hua, M. Wang, Z. Gu, G.-J. Qi, and X. Wu. Correlative linear neighborhood propagation for video annotation. IEEE Transactions on Systems, Man, and Cybernetics: Part B, 2009.
21. P. Toharia, O. D. Robles, A. F. Smeaton, and A. Rodriguez. Measuring the influence of concept detection on video retrieval. In Proceedings of 13th International Conference on Computer Analysis of Images and Patterns, 2009.
22. TRECVID. http://trecvid.nist.gov/.
23. D. Wang, X. Liu, L. Luo, J. Li, and B. Zhang. The importance of query-concept-mapping for automatic video retrieval. In Proceedings of ACM International Conference on Multimedia, 2007.
24. Z. Wang, D. Wang, J. Li, and B. Zhang. Learning structured concept-segments for interactive video retrieval. In Proceedings of ACM International Conference on Image and Video Retrieval, 2008.
25. X.-Y. Wei, C.-W. Ngo, and Y.-G. Jiang. Selection of concept detectors for video search by ontology-enriched semantic spaces. IEEE Transactions on Multimedia, 2008.
26. A. Yanagawa, S.-F. Chang, L. Kennedy, and W. Hsu. Columbia university's baseline detectors for 374 lscom semantic visual concepts. ADVENT Technical Report 222-2006-8, 2007.
27. Youtube. http://www.youtube.com/.
28. Z.-J. Zha, T. Mei, Z. Wang, and X.-S. Hua. Building a comprehensive ontology to refine video concept detection. In Proceedings of ACM International Conference Worshop on Multimedia Information Retrieval (ACM MIR), 2007.
29. Y.-T. Zheng, S.-Y. Neo, X. Chen, and T.-S. Chua. Visiongo: towards true interactivity. In Proceedings of ACM Conference on Image and Video Retrieal (CIVR), 2009.