An exploratory study on joint analysis of visual classification in narrow domains and the discriminative power of tags

MM 2008 - Proceedings of the 2008 ACM International Conference on Multimedia, with Co-located Symposium and Workshops: MS 2008

Volumn , Issue , 2008, Pages 40-47

  Marques, Oge ^a   Lux, Mathias ^b  

^a Florida Atlantic Univ   (United States)

^b UNIVERSITY OF KLAGENFURT   (Austria)

Author keywords

Image annotation; Image retrieval; Scene classification; Social software; Tag analysis

Indexed keywords

CLASSIFIERS; IMAGE ANNOTATION; IMAGE ENHANCEMENT; IMAGE RETRIEVAL; SEMANTICS;

DISCRIMINATIVE POWER; EXPLORATORY STUDIES; NUMBER OF CLASS; SCENE CLASSIFICATION; SEMANTIC CATEGORY; SOCIAL SOFTWARE; TAG ANALYSIS; VISUAL CLASSIFICATION;

IMAGE ANALYSIS;

EID: 78651401072     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460676.1460685     Document Type: Conference Paper

References (27)

1. M. Ames and M. Naaman. Why we tag: motivations for annotation in mobile and online media. In CHI'07: Proceedings of the SIGCHI conference on Human factors in computing systems, pages 971-980, New York, NY, USA, 2007. ACM.
2. M. Aurnhammer, P. Hanappe, and L. Steels. Integrating collaborative tagging and emerging semantics for image retrieval. In Proceedings of the Collaborative Web Tagging Workshop (WWW 2006), 2006.
3. S. Avidan and A. Shamir. Seam carving for content-aware image resizing. In SIGGRAPH'07: ACM SIGGRAPH 2007 papers, page 10, New York, NY, USA, 2007. ACM.
4. M. Boutell, C. Brown, and J. Luo. Survey on the state of the art in semantic scene classification. Technical Report 799, University of Rochester, Rochester, NY, December 2002.
5. R. Datta, W. Ge, J. Li, and J. Wang. Toward bridging the annotation-retrieval gap in image search. IEEE MULTIMEDIA, pages 24-35, 2007.
6. R. Datta, D. Joshi, J. Li, and J. Z. Wang. Image retrieval: Ideas, influences, and trends of the new age. ACM Comput. Surv., 40(2):1-60, 2008.
7. A. Friedman. Framing pictures: the role of knowledge in automatized encoding and memory for gist. J Exp Psychol Gen, 108(3):316-55, 1979.
8. G. W. Furnas, C. Fake, L. von Ahn, J. Schachter, S. Golder, K. Fox, M. Davis, C. Marlow, and M. Naaman. Why do tagging systems work? In CHI'06: CHI'06 extended abstracts on Human factors in computing systems, pages 36-39, New York, NY, USA, 2006. ACM Press.
9. S. A. Golder and B. A. Huberman. The structure of collaborative tagging systems. Journal of Information Science, 32:2, April 2006.
10. M. Guy and E. Tonkin. Folksonomies - tidying up tags? D-Lib Magazine, 12(1), January 2006. ISSN 1082-9873.
11. P. Heymann, G. Koutrika, and H. Garcia-Molina. Can social bookmarking improve web search? In WSDM'08: Proceedings of the international conference on Web search and web data mining, pages 195-206, New York, NY, USA, 2008. ACM.
12. E. Hyvonen, A. Styrman, and S. Saarela. Ontology-based image retrieval. In Towards the semantic web and web services, Proceedings of XML Finland 2002 Conference, pages 15-27, 2002.
13. R. Kern, M. Granitzer, and V. Pammer. Extending folksonomies for image tagging. In 9th International Workshop on Image Analysis for Multimedia Interactive Services, Klagenfurt, Austria, May 2008.
14. J. Luo and M. Boutell. Natural scene classification using overcomplete ICA. Pattern Recognition, 38(10):1507-1519, 2005.
15. P. Mika. Ontologies are us: A unified model of social networks and semantics. In International Semantic Web Conference, LNCS, pages 522-536. Springer, 2005.
16. O. Nov, M. Naaman, and C. Ye. What drives content tagging: the case of photos on flickr. In CHI'08: Proceeding of the twenty-sixth annual SIGCHI conference on Human factors in computing systems, pages 1097-1100, New York, NY, USA, 2008. ACM.
17. A. Oliva and A. Torralba. Modeling the shape of the scene: A holistic representation of the spatial envelope. International Journal of Computer Vision, 42(3):145-175, 2001.
18. A. Payne and S. Singh. Indoor vs. outdoor scene classification in digital photographs. Pattern Recognition, 38(10):1533-1545, 2005.
19. N. Rasiwasia, N. Vasconcelos, and P. Moreno. Query by semantic example. Proceedings of the International Conference in Image and Video Retrieval, pages 51-60, 2006.
20. T. Rattenbury, N. Good, and M. Naaman. Towards automatic extraction of event and place semantics from flickr tags. In SIGIR 07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval, pages 103-110, New York, NY, USA, 2007. ACM.
21. B. Sigurbjornsson and R. van Zwol. Flickr tag recommendation based on collective knowledge. In WWW 08: Proceeding of the 17th international conference on World Wide Web, pages 327-336, New York, NY, USA, 2008. ACM.
22. A. Smeulders, M. Worring, S. Santini, A. Gupta, and R. Jain. Content-based image retrieval at the end of the early years. Pattern Analysis and Machine Intelligence, IEEE Transactions on, 22(12):1349-1380, December 2000.
23. R. Troncy, J. van Ossenbruggen, J. Z. Pan, and G. Stamou. Image annotation on the semantic web. Technical report, World Wide Web Consortium, August 2007.
24. R. van Zwol. Flickr: Who is looking? In WI'07: Proceedings of the IEEE/WIC/ACM International Conference on Web Intelligence, pages 184-190, Washington, DC, USA, 2007. IEEE Computer Society.
25. L. von Ahn. Games with a purpose. Computer, 39(6):92-94, 2006.
26. R. C. Wong and C. H. Leung. Automatic semantic annotation of real world web images. IEEE Transactions on Pattern Analysis and Machine Intelligence, 2008.
27. X. Wu, L. Zhang, and Y. Yu. Exploring social annotations for the semantic web. In WWW'06: Proceedings of the 15th international conference on World Wide Web, pages 417-426, New York, NY, USA, 2006. ACM Press.