An adaptive graph model for automatic image annotation

Proceedings of the ACM International Multimedia Conference and Exhibition

Volumn , Issue , 2006, Pages 61-70

  Liu, Jing ^a   Li, Mingjing ^b   Ma, Wei Ying ^b   Liu, Qingshan ^a   Lu, Hanqing ^a  

^a INSTITUTE OF AUTOMATION   (China)

^b MICROSOFT RESEARCH ASIA   (China)

Author keywords

Image annotation; Image retrieval; Manifold ranking

Indexed keywords

ADAPTIVE ALGORITHMS; CORRELATION METHODS; DATA STRUCTURES; GRAPH THEORY; TEXT PROCESSING; WORD PROCESSING;

AUTOMATIC KEYWORD ANNOTATION; IMAGE ANNOTATION; MANIFOLD RANKING;

IMAGE RETRIEVAL;

EID: 34547472538     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1178677.1178689     Document Type: Conference Paper

References (26)

1. nd of the North American Chapter of the ACL, Pittsburgh, 2001.
2. Claudio, C., Gianluigi, C., Raimondo, S. Image annotation using SVM. In Proceeding Of Internet imaging IV, Vol. SPIE, 2004.
3. Cai, D., Yu, S., Wen, J.R. and Ma, W.Y. VIPS: a visionbased page segmentation algorithm. Microsoft Technical Report (MSR-TR-2003-79), 2003.
4. Edward Chang, Kingshy Goh, Gerard Sychay, Gang Wu. CBSA: content-base soft annotation for multimodal image retrieval using bayes point machines. CirSysVideo, pp. 26-38, 13(1), 2003.
5. David, M., Michael, I. Jordan. Modeling annotated data. Proceedings of the 26th annual international ACM SIGIR conference on Research and development in information retrieval, pp. 127-134, July 2003.
6. Gustavo, C. and Nuno, V. A database centric view of semantic image annotation and retrieval. In ACM SIGIR Conf. on Information Retrieval, Salvador, Brazil. 2005.
7. He, J., Li, M., Zhang, H.J. Tong, H. and Zhang, C. Manifold-ranking based Image Retrieval. Proceedings of the 12th annual ACM international conference on Multimedia, pp. 9-16, New York, 2004.
8. He, X., Cai, D., Liu, H. and Ma, W.Y. Learning a locality preserving subspacefor visual recognition. In Proc. IEEE Conf. on Computer Vision, Nice, France, 2003.
9. He, X., Cai, D., Liu, H. and Ma, W. Y. Locality preserving indexing for document representation. In ACM SIGIR Conf. on Information Retrieval, Sheffield, 2004.
10. He, X., Ma, W. Y. and Zhang, H.J. Learning an image manifold for retrieval. In Proc. of ACM international conference on Multimedia, New York, USA, 2004.
11. Hua, Z.G., Wang, X.J., Liu, Q.S. and Lu, H.Q. Semantic knowledge Extraction and Annotation for web images. Proceedings of the 13th Annual ACM International Conference On Multimedia, pp. 467-470, Singapore, 2005.
12. J. Jeon, V. Lavrenko and R. Manmatha. Automatic Image Annotation and Retrieval Using Cross-media Relevance Models. In Proc. of ACM SIGIR conference on Research and development in information retrieval, pp. 119-126, July 2003.
13. Jiang, J. and Conrath, D. Semantic similarity based on corpus statistics and lexical taxonomy. In Proceedings on International Conference on Research in Computational Linguistics, 1997.
14. Kobus, B., Pinar, D. et al. Matching words and pictures. Journal of Machine Learning Research, pp. 1107-1135, 2003.
15. Li, J. and Wang, J. Z. Automatic linguistic indexing of pictures by a statistical modeling approach. IEEE Trans. On Partem Analysis and Machine Intelligence, pp. 1075-1088, 25(19), 2003.
16. Pucher, M. Performance Evaluation of WordNet-based Semantic Relatedness Measures for Word Prediction in Conversational Speech. In Sixth International Workshop on Computational Semantics, Tilburg, Netherlands, 2005.
17. Pinar, D. and Kobus, B. Object recognition as machine translation: learning a lexicon for a fixed image vocabulary. In Seventh European Conference on Computer Vision, 4:97-112, 2002.
18. Pan, J.Y., Yang, H.J. and Pinar, D. Automatic multimedia cross-modal correlation discovery. The Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, pp. 653-658, August 2004.
19. th Annual Conf. on Neural Information Processing Systems, 2003.
20. S. L. Feng, R. Manmatha and V. Lavrenko. Multiple Bernouli Relevance Models for Image and Video Annotation. In Proc. Of CVPR, Washington, DC, June, 2004.
21. Shi, J.B. and J. Malik. Normalized Cuts and Image Segmentation. IEEE Conference Computer Vision and Pattern Recognition(CVPR), pp. 731-737, June 1997.
22. Tong, H., He, J., Li, MJ., Zhang, C., and Ma W.Y., Graph Based Multi-Modality Learning. Proceedings of the 13th Annual ACM international conference on Multimedia, pp. 862-871, Singapore, 2005.
23. Wojciech, M., Hanspeter, P., Matt, B. A data-driven reflectance model. In Proc. of SIGGRAPH, 2003.
24. Zhou, D., Bousquet, O., Lal, T.N., Weston, J., and Schölkopf, B. Ranking on Data Manifolds. 18th Annual Conf. on Neural Information Processing System, pp. 169-176, 2003.
25. th Annual Conference on Neural Information Processing Systems, 2003.
26. Yohan Jin, Khan, L., Wang, L. and Awad, M. Image Annotations By Combining Multiple Evidence & WordNet. Proceedings of the 13th Annual ACM International Conference On Multimedia, pp. 706-715, Singapore, 2005.