Query aware visual similarity propagation for image search reranking

MM'09 - Proceedings of the 2009 ACM Multimedia Conference, with Co-located Workshops and Symposiums

Volumn , Issue , 2009, Pages 725-728

  Wang, Li ^a,b   Yang, Linjun ^b   Tian, Xinmei ^a,b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY OF CHINA   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Image search; Similarity; Visual reranking

Indexed keywords

IMAGE SEARCH; IMAGE SIMILARITY; LINEAR COMBINATIONS; LOCAL FEATURE; LOCAL SIMILARITY; RE-RANKING; REAL-WORLD; VISUAL SIMILARITY; VISUAL WORD; WEB IMAGES;

IMAGE RETRIEVAL; METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; TECHNICAL PRESENTATIONS;

NATURAL LANGUAGE PROCESSING SYSTEMS;

EID: 72449141708     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631272.1631398     Document Type: Conference Paper

References (16)

1. N. Ben-Haim, B. Babenko, and S. Belongie. Improving web-based image search via content based clustering. In SLAM, pages 106-111, 2006.
2. T. Chang and C.-C. Kuo. Texture analysis and classification with tree-structured wavelet transform. In IEEE Transactions on Image Processing, volume 2, pages 429-441, 1993.
3. R. L. Cilibrasi and P. M. B. Vitanyi. The google similarity distance. In IEEE Transactions on Knowledge and Data Engineering, volume 19, pages 370-383, 2007.
4. W. H. Hsu, L. S. Kennedy, and S.-F. Chang. Video search reranking via information bottleneck principle. In ACM Multimedia, pages 35-44, 2006.
5. W. H. Hsu, L. S. Kennedy, and S.-F. Chang. Video search reranking through random walk over document-level context graph. In ACM Multimedia, pages 971-980, 2007.
6. K. Jarvelin and J. Kekalainen. IR evaluation methods for retrieving highly relevant documents, 2000. In ACM SIGIR, pages 41-48, 2000.
7. Y. Jing and S. Baluja. Visualrank: Applying pagerank to large-scale image search. In IEEE Transactions on Pattern Analysis and Machine Intelligence, volume 30, pages 1877-1890, 2008.
8. D. G. Lowe. Object recognition from local scale-invariant features. In ICCV, volume 2, pages 1150-1157, 1999.
9. W.-Y. Ma and H. J. Zhang. Benchmarking of image features for content-based retrieval. In Conference Record of the Thirty-Second Asilomar Conference on Signals, Systems & Computers, volume 1, pages 253-257, Nov 1998.
10. D. K. Park, Y. S. Jeon, and C. S. Won. Efficient use of local edge histogram descriptor. In ACM Multimedia, pages 51-54, 2000.
11. K. Sparck Jones. A statistical interpretation of term specificity and its application in retrieval. Document retrieval systems, pages 132-142, 1988.
12. X. Tian, L. Yang, J. Wang, Y. Yang, X. Wu, and X.-S. Hua. Bayesian video search reranking. In ACM Multimedia, pages 131-140, 2008.
13. X.-J. Wang, W.-Y. Ma, G.-R. Xue, and X. Li. Multi-model similarity propagation and its application for web image retrieval. In ACM Multimedia, pages 944-951, 2004.
14. R. Yan, E. Hauptmann, and R. Jin. Multimedia search with pseudo-relevance feedback. In CIVR, pages 238-247, 2003.
15. J. Yang, Y.-G. Jiang, A. G. Hauptmann, and C.-W. Ngo. Evaluating bag-of-visual-words representations in scene classification. In MIR, pages 197-206, 2007.
16. H. Zitouni, S. Sevil, D. Ozkan, and P. Duygulu. Re-ranking of web image search results using a graph algorithm. In ICPR, pages 1-4, 2008.