Near-duplicate keyframe retrieval with visual keywords and semantic context

Proceedings of the 6th ACM International Conference on Image and Video Retrieval, CIVR 2007

Volumn , Issue , 2007, Pages 162-169

  Wu, Xiao ^a   Zhao, Wan Lei ^a   Ngo, Chong Wah ^a  

^a CITY UNIVERSITY OF HONG KONG   (Hong Kong)

Author keywords

Image retrieval; Language model; Multiple modalities; Near duplicate keyframe; News videos; Similarity measure

Indexed keywords

IMAGE MATCHING; IMAGE RETRIEVAL; ONLINE SEARCHING;

LANGUAGE MODEL; MULTIPLE MODALITIES; NEAR-DUPLICATE KEYFRAMES (NDK); NEWS VIDEOS; SEMANTIC CONTEXT; SIMILARITY MEASURE;

SEMANTIC WEB;

EID: 36849013476     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1282280.1282309     Document Type: Conference Paper

References (24)

1. J. Allan, C. Wade, and A. Bolivar. Retrieval and Novelty Detection at the Sentence Level. ACM SIGIR'03.
2. J. Amores, N. Sebe, P. Radeva, T. Gevers, and A. Smeulders. Boosting Contextual Information in Content-Based Image Retrieval. ACM MIR'04, 2004
3. S.-F. Chang and et al. Columbia University TRECVID-2005 Video Search and High-Level Feature Extraction. TRECVID 2005, Washington DC, 2005.
4. M. Davis, S. King, N. Good, and R. Sarvas. From Context to Content: Leveraging Context to Infer Media Metadata. ACM MM'04, 2004.
5. P. Duygulu, J.-Y. Pan and D. A. Forsyth. Towards Auto-Documentary: Tracking the Evolution of News Stories. ACM MM'04, USA, Oct. 2004, pp. 820-827.
6. W. H. Hsu and S.-F. Chang. Topic Tracking across Broadcast News Videos with Visual Duplicates and Semantic Concepts. ICIP'06, Atlanta, GA, October 2006.
7. J. L. Gauvain, L. Lamel, and G. Adda. The LIMSI Broadcast News Transcription System. Speech Communication, 2002.
8. J. Li. A Mutual Semantic Endorsement Approach to Image Retrieval and Context Provision. ACM MIR'05, 2005.
9. Y. Ke, R. Suthankar, and L. Huston. Efficient Near-Duplicate Detection and Sub-Image Retrieval. ACM MM'04.
10. D. Lowe. Distinctive image features from scale-invariant keypoints. IJCV, 60(2):91-110, 2004.
11. K. Mikolajczyk and C. Schmid. A Performance Evaluation of Local Descriptors. CVPR'03, pp. 257-263.
12. K. Mikolajczyk and C. Schmid. Scale and Affine Invariant Interest Point Detectors. IJCV, 60 (2004), pp. 63-86.
13. C.-W. Ngo, W.-L. Zhao and Y.-G. Jiang. Fast Tracking of Near-Duplicate Keyframes in Broadcast Domain with Transitivity Propagation. ACM MM'06, pp. 845-854, 2006.
14. J. M. Ponte and W. B. Croft. A Language Modeling Approach to Information Retrieval. ACM SIGIR'98.
15. J. Sivic and A. Zisserman. Video Google: A Text Retrieval Approach to Object Matching in Videos. ICCV'03.
16. TRECVID, http://www-nlpir.nist.gov/projects/trecvid/.
17. X. Wu, C.-W. Ngo and Q. Li. Threading and Autodocumenting News Videos. IEEE Signal Processing Magazine, vol. 23, no. 2, pp. 59-68, March 2006.
18. C. Zhai and J. Lafferty. A Study of Smoothing Methods for Language Models Applied to Ad Hoc Information Retrieval. ACM SIGIR'01, USA, pp. 334-342, Sep. 2001.
19. Y. Zhai and M. Shah. Tracking News Stories across Different Sources. ACM MM'05, Singapore, Nov. 2005.
20. D.-Q. Zhang and S.-F. Chang. Detecting Image Near-Duplicate by Stochastic Attributed Relational Graph Matching with Learning. ACM MM'04, pp. 877-884, 2004.
21. Y. Zhang, J. Callan, and T. Minka. Novelty and Redundancy Detection in Adaptive Filtering. ACM SIGIR'02, 2002.
22. Y. Zhang, W. Xu, and J. Callan. Exact Maximum Likelihood Estimation for Word Mixtures. Text Learning Workshop at ICML'02.
23. W.-L. Zhao, C.-W. Ngo, H.-K. Tan and X. Wu. Near-Duplicate Keyframe Identification with Interest Point Matching and Pattern Learning. IEEE Trans. on MM, 2007.
24. Y. Zheng, S.-Y. Neo, T.-S. Chua and Q. Tian. Fast Near-Duplicate Keyframe Detection in Large-Scale Video Corpus for Video Search. IWAIT'07.