Scalable relevance feedback using click-through data for web image retrieval

Proceedings of the 14th Annual ACM International Conference on Multimedia, MM 2006

Volumn , Issue , 2006, Pages 173-176

  Cheng, En ^a   Jing, Feng ^b   Zhang, Lei ^b   Jin, Hai ^a  

^a HUAZHONG UNIVERSITY OF SCIENCE AND TECHNOLOGY   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Click through; Implicit feedback; Relevance feedback; Web image retrieval

Indexed keywords

DATA REDUCTION; DATABASE SYSTEMS; FEATURE EXTRACTION; FEEDBACK; SCALABILITY; SEARCH ENGINES; WORLD WIDE WEB;

IMPLICIT FEEDBACK; RELEVANCE FEEDBACK; WEB IMAGE RETRIEVAL;

IMAGE RETRIEVAL;

EID: 34547191589     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1180639.1180688     Document Type: Conference Paper

References (13)

1. E. Cheng et al., "Using Implicit Relevance Feedback to Advance Image Search," To appear in Proc. of ICME 2006.
2. F. Jing et al., "A Unified Framework for Image Retrieval Using Keyword and Visual Features," IEEE Trans. on Image Processing, 14(7):979-89, 2005.
3. J. Rocchio, Relevance Feedback in Information Retrieval. Prentice-Hall, 1971.
4. L. Zhang et al., "Efficient propagation for face annotation in family albums," Proc. of ACMMultimedia, pp.716-723, 2004.
5. Q.K. Zhao et al., "Time-Dependent Semantic Similarity Measure of Queries Using Historical Click-Through Data," Proc. of WWW2006.
6. R. Baeza-Yates and B. Ribeiro-Neto, Modern Information Retrieval. Addison-Wesley, 1999.
7. S. Sclaroff et al., "ImageRover: a content-based image browser for the world wide web," Proc. of IEEE Workshop on Content-based Access of Image and Video Libraries, pp.2-9, 1997.
8. T. Joachims et al., "Accurately interpreting clickthrough data as implicit feedback," Proc. of SIGIR, pp.154-161, 2005.
9. T. Quack et al., "Cortina: a system for large-scale, content-based web image retrieval," Proc. of ACMMultimedia, pp.508-511, 2004.
10. X.S. Zhou et al., "Relevance Feedback in Image Retrieval: A Comparative Study," ACMMultimedia Systems, 8(6):536-544, 2003.
11. Y. Lu et al., "A Unified Framework for Semantics and Feature Based Relevance Feedback in Image Retrieval Systems," Proc. of ACM Multimedia, pp. 31-38, 2000.
12. Y. Rui et al. "Relevance feedback: A Power Tool for Interactive Content-based Image Retrieval," IEEE Trans. on CSVT, 13(4):811-820, 1998.
13. Y. Wu et al., "Optimal Multimodal Fusion for Multimedia Data Analysis," Proc. of ACM Multimedia, pp.572-579, 2004.