Discriminating image senses by clustering with multimodal features

COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, Proceedings of the Main Conference Poster Sessions

Volumn , Issue , 2006, Pages 547-554

  Loeff, Nicolas ^a   Alm, Cecilia Ovesdotter ^a   Forsyth, David A ^a  

^a UNIVERSITY OF ILLINOIS AT URBANA CHAMPAIGN   (United States)

Author keywords

[No Author keywords available]

Indexed keywords

WEBSITES;

CLUSTERINGS; DATA SET; EMBEDDINGS; IMAGE FEATURES; MULTIMODAL FEATURES; QUERY TERMS; SPECTRAL CLUSTERING; TEXT FEATURE; WEB IMAGES; WEB-PAGE;

CLUSTERING ALGORITHMS;

EID: 85026935113     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: None     Document Type: Conference Paper

References (23)

1. C. O. Alm, N. Loeff, and D. Forsyth. 2006. Challenges for annotating images for sense disambiguation. ACL workshop on Frontiers in Linguistically Annotated Corpora.
2. K. Barnard and D. Forsyth. 2001. Learning the semantics of words and pictures. ICCV, 408-415.
3. K. Barnard, P. Duygulu, and D. Forsyth. 2002. Modeling the statistics of image features and associated text. SPIE.
4. K. Barnard and M. Johnson. 2005. Word sense disambiguation with pictures. Artificial Intelligence, 167, 13-30.
5. D. Cai et al. 2004. Hierarchical clustering of WWW image search results using visual, textual and link information. ACM Multimedia, 952-959.
6. O. Chapelle and P. Haffner and V. Vapnik. 1999. Support vector machines for histogram-based image classification. IEEE Neural Networks, 10(5), 1055-1064.
7. G. Csurka et al. 2004. Visual categorization with bags of keypoints. ECCV Int. Workshop on Stat. Learning in Computer Vision.
8. C. Frankel, M. Swain, and V. Athitsos. 1996. WebSeer: an image search engine for the World Wide Web. Univ. of Chicago, Computer Science, Technical report #96-14.
9. C. Fowlkes, S. Belongie, F. Chung, and J. Malik. 2004. Spectral grouping using the Nyström method. IEEE PAMI, 26(2),214-225.
10. A. Fuji and T. Ishikawa. 2005. Toward the automatic compilation of multimedia encyclopedias: associating images with term descriptions on the web. IEEE WI, 536-542.
11. D. Jurafsky and J. Martin 2000. Speech and Language Processing, Prentice Hall.
12. T. Kadir and M. Brady. 2001. Scale, saliency and image description. Int. Journal of Computer Vision, 45 (2):83-105.
13. D. Lin and P. Pantel. 2002a. Concept discovery from text. COLING, 577-583.
14. D. Lowe. 2004. Distinctive image features from scale-invariant keypoints. Int. Journal of Computer Vision, 60(2), 91-110.
15. A. Ng, M. Jordan, and Y. Weiss. 2002. On spectral clustering: analysis and an algorithm. NIPS 14.
16. P. Pantel and D. Lin. 2002b. Discovering word senses from text. KDD, 613-619.
17. H. Schuetze. 1998. Automatic word sense discrimination. Computational Linguistics, 24(1):97-123.
18. J. Shi and J. Malik. 2000. Normalized cuts and image segmentation. IEEE PAMI, 22(8):888-905.
19. N. Ueda. and R. Nakano. 1994. A new competitive learning approach based on an equidistortion principle for designing optimal vector quantizers. Neural Networks, 7(8):1211-1227.
20. X.-J. Wang et al. 2004. Multi-model similarity propagation and its application for image retrieval. MM,944-951.
21. K. Yanai and K. Barnard. 2005. Probabilistic web image gathering. SIGMM, 57-64.
22. K. Yanai, N. V. Shirahatti, and K. Barnard. 2005. Evaluation strategies for image understanding and retrieval. SIGMM, 217-226.
23. D. Yarowsky. 1995. Unsupervised word sense disambiguation rivaling supervised methods. ACL, 189-196.