Correlation-based retrieval for heavily changed near-duplicate videos

ACM Transactions on Information Systems

Volumn 29, Issue 4, 2011, Pages

  Liu, Jiajun ^a   Huang, Zi ^a   Shen, Heng Tao ^a   Cui, Bin ^b  

^a UNIVERSITY OF QUEENSLAND   (Australia)

^b PEKING UNIVERSITY   (China)

Author keywords

Correlation based retrieval; Near duplicate video; Similarity based retrieval

Indexed keywords

COLOR FEATURES; COLOR VIDEO; CONTENT MODIFICATION; CORRELATION-BASED RETRIEVAL; IMPLICIT RELATIONSHIPS; INFORMATION CORRELATION; NEAR-DUPLICATE VIDEO; NEW DIMENSIONS; SIMILARITY MEASURE; SIMILARITY-BASED RETRIEVAL; VIDEO RETRIEVAL; VIDEO RETRIEVAL TECHNIQUES; VIDEO SIMILARITY; WEB VIDEO;

IMAGE RETRIEVAL;

CORRELATION METHODS;

EID: 84455168546     PISSN: 10468188     EISSN: 15582868     Source Type: Journal    
DOI: 10.1145/2037661.2037666     Document Type: Review

References (40)

1. ASSENT, I. AND KREMER, H. 2009. Robust adaptable video copy detection. In Proceedings of SSTD. 380-385.
2. BROWN, M. AND LOWE, D. G. 2002. Invariant features from interest point groups. In Proceedings of BMVC.
3. CHERUBINI, M., DE OLIVEIRA, R., AND OLIVER, N. 2009. Understanding near-duplicate videos: a user-centric approach. In Proceedings of ACM Multimedia. 35-44.
4. CLARK, D. 1975. Understanding Canonical Correlation Analysis. Geo Abstracts Ltd.
5. HARDOON, D. R., SZEDMÁK, S., AND SHAWE-TAYLOR, J. 2004. Canonical correlation analysis: An overview with application to learning methods. Neural Computat. 16, 12, 2639-2664. (Pubitemid 39604012)
6. HOTELLING, H. 1936. Relations between two sets of variates. Biometrika 28, 3/4, 321-377.
7. HUANG, Z., HU, B., CHENG, H., SHEN, H. T., LIU, H., AND ZHOU, X. 2010. Mining near-duplicate graph for cluster-based reranking of web video search results. ACM Trans. Info. Syst. 28, 4.
8. HUANG, Z., SHEN, H. T., SHAO, J., ZHOU, X., AND CUI, B. 2009. Bounded coordinate system indexing for real-time video clip search. ACM Trans. Info. Syst. 27, 3.
9. JAGADISH, H. V., OOI, B. C., TAN, K.-L., YU, C., AND ZHANG, R. 2005. idistance: An adaptive b+-tree based indexing method for nearest neighbor search. ACM Trans. Data. Syst. 30, 2, 364-397. (Pubitemid 41204994)
10. KE, Y. AND SUKTHANKAR, R. 2004. Pca-sift: A more distinctive representation for local image descriptors. In Proceedings of CVPR. 506-513.
11. KIM, T.-K. AND CIPOLLA, R. 2009. Canonical correlation analysis of video volume tensors for action categorization and detection. IEEE Trans. Patt. Anal. Machine Intell. 31, 8, 1415-1428.
12. KIM, T.-K., KITTLER, J., AND CIPOLLA, R. 2007. Discriminative learning and recognition of image set classes using canonical correlations. IEEE Trans. Patt. Anal. Machine Intell. 29, 6, 1005-1018. (Pubitemid 46667413)
13. LAW-TO, J., BUISSON, O., GOUET-BRUNET, V., AND BOUJEMAA, N. 2006. Robust voting algorithm based on labels of behavior for video copy detection. In Proceedings of ACM Multimedia. 835-844. (Pubitemid 47113643)
14. LAW-TO, J., BUISSON, O., GOUET-BRUNET, V., AND BOUJEMAA, N. 2009. Vicopt: a robust system for content-based video copy detection in large databases. Multimedia Syst. 15, 6, 337-353.
15. LAW-TO, J., CHEN, L., JOLY, A., LAPTEV, I., BUISSON, O.,GOUET-BRUNET, V., BOUJEMAA, N., AND STENTIFORD, F. 2007. Video copy detection: a comparative study. In Proceedings of CIVR. 371-378. (Pubitemid 350229648)
16. LIU, L., LAI, W., HUA, X.-S., AND YANG, S.-Q. 2007. Video histogram: A novel video signature for efficient web video duplicate detection. In Proceedings of MMM. 94-103.
17. LOWE, D. G. 2004. Distinctive image features from scale-invariant keypoints. Int. J. Computer Vision 60, 2, 91-110.
18. MARDIA, K. V., KENT, J. T., AND BIBBY, J. M. 1980. Multivariate Analysis. Academic Press.
19. MIKOLAJCZYK, K. AND SCHMID, C. 2002. An affine invariant interest point detector. In Proceedings of ECCV. 128-142.
20. MIKOLAJCZYK, K. AND SCHMID, C. 2004. Scale & affine invariant interest point detectors. Int. J. Computer Vision 60, 1, 63-86.
21. NGO, C.-W., ZHAO, W., AND JIANG, Y.-G. 2006. Fast tracking of near-duplicate keyframes in broadcast domain with transitivity propagation. In Proceedings of ACM Multimedia. 845-854. (Pubitemid 47113644)
22. POULLOT, S.,CRUCIANU,M., AND BUISSON,O. 2008. Scalablemining of large video databases using copy detection. In Proceedings of ACM Multimedia. 61-70.
23. SATOH, S., TAKIMOTO, M., AND ADACHI, J. 2007. Scene duplicate detection from videos based on trajectories of feature points. In Proceedings of MIR. 237-244.
24. SEOKMIN, H.,CHOI, J.,NEVE,W. D., AND RO, Y.M. 2009. Near-duplicate video detection using temporal patterns of semantic concepts. In Proceedings of ISM. 65-71.
25. SHEN, H. T.,LIU, J.,HUANG, Z.,NGO, C.-W., ANDWANG,W. 2011. Near-duplicate video retrieval: Current research and future trends. IEEE Trans. Multimedia.
26. SHEN, H. T., ZHOU, X., HUANG, Z., AND SHAO, J. 2007. Statistical summarization of content features for fast near-duplicate video detection. In Proceedings of ACM Multimedia. 164-165.
27. SHEN, H. T., ZHOU, X., HUANG, Z., SHAO, J., AND ZHOU, E. 2007. Uqlips: A real-time near-duplicate video clip detection system. In Proceedings of VLDB. 1374-1377.
28. SNEDECOR, G. W. AND COCHRAN, W. G. 1989. Statistical Methods 8th Ed. Iowa State University Press.
29. TAN, H.-K., NGO, C.-W., HONG, R., AND CHUA, T.-S. 2009. Scalable detection of partial near-duplicate videos by visual-temporal consistency. In Proceedings of ACM Multimedia. 145-154.
30. TAN, H.-K., WU, X.,NGO, C.-W., AND ZHAO, W. 2008. Accelerating near-duplicate video matching by combining visual similarity and alignment distortion. In Proceedings of ACM Multimedia. 861-864.
31. WU, X., HAUPTMANN, A. G., AND NGO, C.-W. 2007. Practical elimination of near-duplicates from web video search. In Proceedings of ACM Multimedia. 218-227.
32. WU, X., TAKIMOTO, M., SATOH, S., AND ADACHI, J. 2008. Scene duplicate detection based on the pattern of discontinuities in feature point trajectories. In Proceedings of ACM Multimedia. 51-60.
33. WU, X., ZHAO, W., AND NGO, C.-W. 2007. Near-duplicate keyframe retrieval with visual keywords and semantic context. In Proceedings of CIVR. 162-169. (Pubitemid 350229623)
34. WU, Z., JIANG, S., AND HUANG, Q. 2009. Near-duplicate video matching with transformation recognition. In Proceedings of ACM Multimedia. 549-552.
35. YEH, M.-C. AND CHENG, K.-T. 2009. Video copy detection by fast sequence matching. In Proceedings of CIVR.
36. YUAN, J., DUAN, L.-Y., TIAN, Q., AND XU, C. 2004. Fast and robust short video clip search using an index structure. In Proceedings of MIR. 61-68. (Pubitemid 40390939)
37. ZHANG, X., HUA, G., 0001, L. Z., AND SHUM, H.-Y. 2010. Interest seam image. In Proceedings of CVPR. 3296-3303.
38. ZHAO, W. AND NGO, C.-W. 2009. Scale-rotation invariant pattern entropy for keypoint-based near-duplicate detection. IEEE Trans. Image Process. 18, 2, 412-423.
39. ZHAO, W.,NGO, C.-W., TAN, H.-K., ANDWU, X. 2007. Near-duplicate keyframe identification with interest point matching and pattern learning. IEEE Trans. Multimedia 9, 5, 1037-1048. (Pubitemid 47171260)
40. ZHU, J., HOI, S. C. H., LYU, M. R., AND YAN, S. 2008. Near-duplicate keyframe retrieval by nonrigid image matching. In Proceedings of ACM Multimedia. 41-50.