Can social tagging improve Web image search?

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volumn 5175 LNCS, Issue , 2008, Pages 235-249

  Kato, Makoto ^a   Ohshima, Hiroaki ^a   Oyama, Satoshi ^a   Tanaka, Katsumi ^a  

^a KYOTO UNIVERSITY   (Japan)

Author keywords

[No Author keywords available]

Indexed keywords

ABSTRACTING; ASSOCIATIVE PROCESSING; CHLORINE COMPOUNDS; COMPUTER SOFTWARE; CONCRETE CONSTRUCTION; DYNAMIC PROGRAMMING; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; INDUSTRIAL ENGINEERING; INFORMATION RETRIEVAL; INFORMATION SCIENCE; INFORMATION SERVICES; INFORMATION SYSTEMS; SEARCH ENGINES; SYSTEMS ENGINEERING; TECHNOLOGY;

ASSOCIATION RULE MINING; INTERNATIONAL CONFERENCES; PHOTO SHARING; SOCIAL TAGGING; TERM CO-OCCURRENCE; WEB IMAGE SEARCH; WEB INFORMATION SYSTEMS; WORD NET;

WORLD WIDE WEB;

EID: 52149098144     PISSN: 03029743     EISSN: 16113349     Source Type: Book Series    
DOI: 10.1007/978-3-540-85481-4_19     Document Type: Conference Paper

References (15)

1. Miller, G., Beckwith, R., Fellbaum, C., Gross, D., Miller, K.: Introduction to Word-Net: An On-line Lexical Database. International Journal of Lexicography 3(4), 235-244 (2004)
2. Agrawal, R., Imielinski, T., Swami, A.: Mining association rules between sets of items in large databases. Processings of the ACM SIGMOD 22(2), 207-216 (1993)
3. Kuwabara, A., Tanaka, K.: RelaxImage: A Cross-Media Meta-Search Engine for Searching Images from Web Based on Query Relaxation. In: Proceedings of the 21st ICDE, pp. 1102-1103 (2005)
4. Heymann, P., Koutrika, G., Garcia-Molina, H.: Can social bookmarking improve web search? In: Proceedings of the international conference on WSDM, pp. 195-206 (2008)
5. Bao, S., Xue, G., Wu, X., Yu, Y., Fei, B., Su, Z.: Optimizing web search using social annotations. In: Proceedings of the 16th international conference on WWW, pp. 501-510 (2007)
6. Yanbe, Y., Jatowt, A., Nakamura, S., Tanaka, K.: Can social bookmarking enhance search in the web? In: Proceedings of the conference on JCDL, pp. 107-116 (2007)
7. Schmitz, P.: Inducing ontology from flickr tags. In: Collaborative Web Tagging Workshop at WWW (2006)
8. Rattenbury, T., Good, N., Naaman, M.: Towards automatic extraction of event and place semantics from flickr tags. In: Proceedings of the 30th annual international ACM SIGIR, pp. 103-110 (2007)
9. Marlow, C., Naaman, M., Boyd, D., Davis, M.: HT06, tagging paper, taxonomy, Flickr, academic article, to read. In: Proceedings of the 17th conference on HT, pp. 31-40 (2006)
10. Lerman, K., Jones, L.: Social Browsing on Flickr. In: Proceedings of ICWSM (2006)
11. Hollink, L., Schreiber, A., Wielinga, B., Worring, M.: Classification of user image descriptions. International Journal of Human-Computer Studies 61(5), 601-626 (2004)
12. Veltkamp, R., Tanase, M.: Content-based image retrieval systems: A survey. Ultrecht, Netherlands: Department of Computing Science, Utrecht University (2000)
13. Duygulu, P., Barnard, K., de Freitas, N., Forsyth, D.: Object recognition as machine translation: Learning a lexicon for a fixed image vocabulary. In: Heyden, A., Sparr, G., Nielsen, M., Johansen, P. (eds.) ECCV 2002. LNCS, vol. 2353, pp. 97-112. Springer, Heidelberg (2002)
14. Lavrenko, V., Manmatha, R., Jeon, J.: A model for learning the semantics of pictures. In: Proceedings of Advance in Neutral Information Processing (2003)
15. Magalhaes, J., Rueger, S.: High-dimensional visual vocabularies for image retrieval. In: Proceedings of the 30th annual international ACM SIGIR, pp. 815-816 (2007)