Retrieving lightly annotated images using image similarities

Proceedings of the ACM Symposium on Applied Computing

Volumn 2, Issue , 2005, Pages 1031-1037

  Inoue, Masashi ^a   Ueda, Naonori ^b  

^a NATIONAL INSTITUTE OF INFORMATICS   (Japan)

^b NTT Communication Science Laboratories   (Japan)

Author keywords

Annotation based retrieval; Image retrieval; Lightly annotated images; Word associations

Indexed keywords

COMPUTATION THEORY; SEMANTICS;

ANNOTATION-BASED RETRIEVAL; LIGHTLY ANNOTATED IMAGES; WORD ASSOCIATIONS;

IMAGE RETRIEVAL;

EID: 33644554133     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1066677.1066914     Document Type: Conference Paper

References (16)

1. K. Barnard, P. Duygulu, D. Forsyth, N. de Freitas, D. M. Blei, and M. I. Jordan. Matching words and pictures. J. Mach. Learn. Res., 3:1107-1135, 2003.
2. A. Berger and J. Lafferty. Information retrieval as statistical translation. In Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval, pages 222-229. ACM Press, 1999.
3. D. Blei and M. Jordan. Modeling annotated data. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval, pages 127-134. ACM Press, Aug. 2003.
4. D. Elworthy. Retrieval from captioned image databases using natural language processing. In Proc. 9th Int'l Conf. on Information and Knowledge Management, pages 430-437, McLean, VA, 2000.
5. S. Flank. A layered approach to NLP-based information retrieval. In Proc. 36th Annual Meeting of the Association for Computational Linguistics and 17th Int'l Conf. on Computational Linguistics, pages 397-403, San Francisco, 1998.
6. G. W. Furnas, T. K. Landauer, L. M. Gomez, and S. T. Dumais. The vocabulary problem in human-system communication. Comm. ACM, 30(11):964-971, 1987.
7. D. Hiemstra. Using Language Models for Information Retrieval. PhD thesis, Centre for Telematics and Information Technology, University of Twente, January 2001.
8. M. Inoue. On the need for annotation-based image retrieval. In Workshop on Information Retrieval in Context (IRiX), pages 44-46, Sheffield, UK, July 2004.
9. J. Jeon, V. Lavrenko, and R. Manmatha. Automatic image annotation and retrieval using cross-media relevance models. In Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval, pages 119-126. ACM Press, July 28-August 1, 2003.
10. G. A. Miller. WordNet: a lexical database for English. Commun. ACM, 38(11):39-41, 1995.
11. J. M. Ponte and W. B. Croft. A language modeling approach to imformation retrieval. In Proceedings of the 21st annual international ACM SIGIR conference on Research and development in informaion retrieval, pages 275-281, Melbourne, Australia, Aug 1998.
12. H. Schütze and J. Pederson. A cooccurrence-based thesaurus and two applications to information retrieval. Information Processing and Management, 33(3):307-318, 1997.
13. S. Sclaroff, M. L. Cascia, S. Sethi, and L. Taycher. Unifying textual and visual cues for content-based image retrieval on the world wide web. Computer Vision and Image Understanding, 75(1-2):86-98, 1999.
14. A. F. Smeaton and I. Quigley. Experiments on using semantic distances between words in image caption retrieval. In Proc. 19th ACM Int'l Conf. on Research and Development in Information Retrieval, pages 174-180, Zurich, 1996.
15. A. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(12):1349-1380, 2000.
16. C. Zhai and J. Lafferty. A study of smoothing methods for language models applied to information retrieval. ACM Trans. Inf. Syst., 22(2):179-214, 2004.