Automatic Image Annotation and Retrieval using Cross-Media Relevance Models

SIGIR Forum (ACM Special Interest Group on Information Retrieval)

Volumn , Issue SPEC. ISS., 2003, Pages 119-126

  Jeon, J ^a   Lavrenko, V ^a   Manmatha, R ^a  

^a University of Massachusetts   (United States)

Author keywords

Image annotation; Image retrieval; Relevance models

Indexed keywords

ALGORITHMS; AUTOMATION; DIGITAL LIBRARIES; IMAGE ANALYSIS; MATHEMATICAL MODELS; MULTIMEDIA SYSTEMS; QUERY LANGUAGES;

IMAGE ANNOTATIONS; RELEVANCE MODELS;

IMAGE RETRIEVAL;

EID: 1542347786     PISSN: 01635840     EISSN: None     Source Type: Journal    
DOI: 10.1145/860458.860459     Document Type: Conference Paper

References (18)

1. K. Barnard, P. Duygulu, N. de Freitas, D. Forsyth, D. Blei, and M. I. Jordan. Matching words and pictures. Journal of Machine Learning Research, 3:1107-1135, 2003.
2. K. Barnard and D. Forsyth. Learning the semantics of words and pictures. In International Conference on Computer Vision, Vol.2, pages 408-415, 2001.
3. D. Blei, Michael, and M. I. Jordan. Modeling annotated data. To appear in the Proceedings of the 26th annual international ACM SIGIR conference
4. Berger. A. and Lafferty, J. Information retrieval as statistical translation. In Proceedings of the 22nd annual international ACM SIGIR conference, pages 222-229, 1999.
5. P. Brown, S. D. Pietra, V. D. Pietra, and R. Mercer. The mathematics of statistical machine translation: Parameter estimation. In Computational Linguistics, 19(2):263-311, 1993.
6. W. B. Croft. Combining Approaches to Information Retrieval, in Advances in Information Retrieval ed. W. B. Croft, Kluwer Academic Publishers, Boston, MA.
7. C. Carson, M. Thomas, S. Belongie, J. M. Hellerstein, and J. Malik. Blobworld: A system for region-based image indexing and retrieval. In Third International Conference on Visual Information Systems, Lecture Notes in Computer Science, 1614, pages 509-516, 1999.
8. M. Das and R. Manmatha and E. M. Riseman, Indexing Flowers by Color Names using Domain Knowledge-driven Segmentation, IEEE Intelligent Systems, 14(5):24-33, 1999.
9. P. Duygulu, K. Barnard, N. de Freitas, and D. Forsyth. Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In Seventh European Conference on Computer Vision, pages 97-112, 2002.
10. D. Forsyth and J. Ponce, Computer Vision: A Modern Approach Prentice Hall, 2003
11. D. Hiemstra Using Language Models for Information Retrieval. PhD dissertation, University of Twente, Enschede, The Netherlands, 2001.
12. J. M. Ponte, and W. B. Croft, A language modeling approach to information retrieval. Proceedings of the 21st annual international ACM SIGIR Conference, pages 275-281, 1998.
13. V. Lavrenko and W. Croft. Relevance-based language models. Proceedings of the 24th annual international ACM SIGIR conference, pages 120-127, 2001.
14. V. Lavrenko, M. Choquette, and W. Croft, Cross-lingual relevance models. Proceedings of the 25th annual international ACM SIGIR conference, pages 175-182, 2002.
15. Y. Mori, H. Takahashi, and R. Oka. Image-to-word transformation based on dividing and vector quantizing images with words. In MISRM'99 First International Workshop on Multimedia Intelligent Storage and Retrieval Management, 1999.
16. R. W. Picard and T. P. Minka", Vision Texture for Annotation, In Multimedia Systems, 3(1):3-14, 1995.
17. J. Shi and J. Malik. Normalized cuts and image segmentation. IEEE Transactions on Pattern Analysis and Machine Intelligence, 22(8):888-905, 2000.
18. J. Lafferty and C. Zhai. Document language models, query models, and risk minimization for information retrieval, Proceedings of the 24th annual international ACM SIGIR Conference, pages 111-119, 2001.