Adaptive image retrieval using a Graph model for semantic feature integration

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue , 2006, Pages 117-126

  Urban, Jana ^a   Jose, Joemon M ^a  

^a UNIVERSITY OF GLASGOW   (United Kingdom)

Author keywords

Fusion; Image retrieval; Random walks; Relevance feedback; Retrieval models; Semantic features

Indexed keywords

ADAPTIVE SYSTEMS; CONTEXT SENSITIVE LANGUAGES; FEATURE EXTRACTION; GRAPH THEORY; MULTIMEDIA SERVICES; SEMANTICS;

INTERACTIVE INFORMATION RETRIEVAL; RANDOM WALKS; RELEVANCE FEEDBACK; RETRIEVAL MODELS;

IMAGE RETRIEVAL;

EID: 34547477602     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1178677.1178696     Document Type: Conference Paper

References (24)

1. S. Brin and L. Page. The anatomy of a large-scale hypertextual Web search engine. Computer Networks and ISDN Systems, 30(1-7):107-117, 1998.
2. R. Fagin, R. Kumar, and D. Sivakumar. Efficient similarity search and classification via rank aggregation. In Proc. of the ACM SIGMOD Int. Conf. on Management of Data, pages 301-312, 2003.
3. J. Han, M. Li, H. Zhang, and L. Quo. A memory learning framework for effective image retrieval. IEEE Trans. Image Processing, 14(4):511-524, 2005.
4. J. He, H. Tong, M. Li, W.-Y. Ma, and C. Zhang. Multiple random, walks and its application in content-based image retrieval. In MIR '05: Proc. of the 7th ACM SIGMM Int. Workshop on Multimedia Information Retrieval, pages 151-158, 2005.
5. M.-K. Hu. Visual pattern recognition by moment invariants. IEEE Trans. Information Theory, 8(2):179-187, Feb. 1962.
6. G. Iyengar, P. Duygulu, S. Feng, P. Ireing, S. P. Khudanpur, D. Klakow, M. R. Krause, R. Manmatha, H. J. Nock, D. Petkova, B. Pytlik, and P. Virga. Joint visual-text modeling for automatic retrieval of multimedia documents. In Proc. of the. ACM Int. Conf. on Multimedia, pages 21-30, New York, NY, USA, 2005.
7. J. Jeon, V. Lavrenko, and R. Manmatha. Automatic image annotation and retrieval using cross-media relevance models. In Proc. of the Annual Int. ACM SIGIR Conf. on Research and Development in Information Retrieval, pages 119-126, New York, NY, USA, 2003.
8. A. N. Langville and C. D. Meyer. Deeper inside pagerank. Internet Mathematics, 1(3):335-400, 2004.
9. D. L. Lee, H. Chuang, and K. Seamons. Document ranking and the vector-space model. IEEE Softw., 14(2):67-75, 1997.
10. L. Lovasz. Random walks on graphs: A survey. Combinatorics, Paul Erdos is Eighty, 2:353-398, 1993.
11. NIST. Proc. of the TREC Video Retrieval Evaluation Conference (TRECVID2005), Gaithersburgh, MD, USA, Nov. 2005.
12. J.-Y. Pan, H.-J. Yang, C. Faloutsos, and P. Duygulu. GCap: Graph-based automatic image captioning. In Proc. of the 4th Int. Workshop on Multimedia Data and Document Engineering (MDDE 04), in conjunction with CVPR 04, 2004.
13. J. J. Rocchio. Relevance feedback in information retrieval. In The SMART retrieval system: experiments in automatic document processing, pages 313-323. Prentice-Hall, Englewood Cliffs, US, 1971.
14. Y. Rui and T. S. Huang. Optimizing learning in image retrieval. In IEEE Proc. of Conf. on Computer Vision and Pattern Recognition (CVPR-00), pages 236-245, Los Alandtos, June 2000.
15. A. W. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. IEEE Trans. Pattern Analysis and Machine Intelligence, 22(12): 1349-1380, Dec. 2000.
16. M. Sonka, V. Hlavac, and R. Boyle. Image Processing, Analysis, and Machine Vision. Thomson-Engineering, Toronto, Canada, 2nd edition, 1998.
17. M. Stricker and M. Orengo. Similarity of color images. In Proc. of the SPIE: Storage and Retrieval for Image and Video Databases, volume 2420, pages 381-392, Feb. 1995.
18. Z. Su and H-J. Zhang. Relevance feedback in CBIR. In Sixth Working Conference on Visual Database Systems (VDB'02), May 29-31, 2002, Bisbane. Australia, pages 21-35, 2002.
19. H. Tong, J. He, M. Li, C. Zhang, and W.-Y. Ma. Graph based multi-modality learning. In Proc. of the ACM Int. Conf. on Multimedia, pages 862-871, New York, NY, USA, 2005.
20. J. Urban and J. M. Jose. EGO: A personalised multimedia management tool. In Proc. of the 2nd Int. Workshop on Adaptive Multimedia Retrieval, pages 3-17, 2004.
21. J. Urban and J. M. Jose. Evidence combination for multi-point query learning in content-based image retrieval. In Proc. of the IEEE Sixth Int. Symposium on Multimedia Software Engineering (ISMSE'04), pages 583-586, Dec. 2004.
22. J. Urban and J. M. Jose. Evaluating a workspace's usefulness for image retrieval. ACM Multimedia Sytems Journal (Special Issue on User-Centered Multimedia), 2006. accepted for publication.
23. C. J. van Rijsbergen. Information Retrieval. Butterworth, London, 2nd edition, Jan. 1979.
24. Berkley's list of Corel CDs, and image annotations. Available from. http://elib.cs.berke.ley.edu/corel/, last accessed in July 2006.