The role of tags and image aesthetics in social image search

1st ACM SIGMM International Workshop on Social Media, WSM'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

Volumn , Issue , 2009, Pages 65-72

  Obrador, Pere ^a   Anguera, Xavier ^a   De Oliveira, Rodrigo ^a   Oliver, Nuria ^a  

^a TELEFONICA RESEARCH   (Spain)

Author keywords

Consumer image search; Image aesthetics; Re ranking of search results

Indexed keywords

ART IMAGE; CONSUMER IMAGES; DIGITAL CONTENTS; DIGITAL PHOTOGRAPHS; DIGITAL PHOTOS; IMAGE SEARCH; ONLINE REPOSITORIES; QUERY TYPES; RE-RANKING; SEARCH RESULTS; TEXTUAL QUERY; USER STUDY;

IMAGE QUALITY; IMAGE RETRIEVAL; INTERNET; METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; PHOTOGRAPHY; SEARCH ENGINES;

COMPUTER GRAPHICS;

EID: 72149111100     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631144.1631158     Document Type: Conference Paper

References (28)

1. Amer, A., Dubois, E. and Mitiche, A. 2002. Reliable and Fast Structure-oriented Video Noise Estimation. IEEE ICIP.
2. Bajcsy, R. 1988. Active Perception. In Proc. of the IEEE, vol. 76, no. 8, pp. 996-1005.
3. Choi, Y. and Rasmussen, E. M. 2002. User's relevance criteria in image retrieval in American history. Information Processing and Management 38, 5, 695-726.
4. Datta, R., et al. 2006. Studying aesthetics in photographic images using a computational approach. In Proc. of ECCV.
5. Fergus, R., Perona, P., and Zisserman, A. 2004. A visual category filter for google images. In Proc. of ECCV.
6. Fergus, R., et al. 2005. Learning object categories from google's image search. In Proc. of ICCV.
7. Ferzli, R. and Karam, L. J. 2006. A Human Visual System-Based Model for Blur/Sharpness Perception. 2nd Workshop on Video Processing and Quality Metrics, Scottsdale, AZ.
8. Hsu, W. H., Kennedy, L. S., and Chang, S.-F. 2007. Novel reranking methods for visual search. IEEE Multimedia.
9. Jing,Y. and Baluja,S., 2008. PageRank for product image search. In Proc. of WWW Conf.
10. Ke, Y., Tang, X., and Jing, F. 2006. The design of high-level features for photo quality assessment. In Proc. of CVPR.
11. Kennedy, L., et al. 2006. To search or to label?: predicting the performance of search-based automatic image classifiers. In Proc. of the 8th ACM Intl. workshop on Multimedia information retrieval.
12. Kennedy, L., et al. 2007. How Flickr helps us make sense of the world: context and content in community-contributed media collections. In Proc. of ACM Multimedia.
13. Kisilev, P., et al. 2007. Noise and signal activity maps for better imaging algorithms. Proc. of IEEE ICIP.
14. Kuchinsky, A., et al. 1999. Fotofile: a consumer multimedia organization and retrieval system. In Proc. of SIGCHI.
15. Lim, S. H. 2006. Characterization of noise in digital photographs for image processing. In Proc. of SPIE, vol. 6069.
16. Luo, J., el al. 2000. On the application of bayes networks to semantic understanding of consumer photographs. In Proc. of IEEE ICIP.
17. Luo, Y. and Tang, X. 2008. Photo and video quality evaluation: Focusing on the subject. In ECCV, LNCS.
18. Picasa Web Album, [online]. available:http://picasaweb.com/
19. Obrador, P. 2008. Region Based Image Appeal Metric for Consumer Photos. In Proc of IEEE Intl. Workshop MMSP.
20. Obrador, P. and Moroney, N. 2009. Low level features for image appeal measurement, Proc. SPIE, Vol. 7242, 72420T.
21. Park, J. B. and Desouza, G. N. 2004. Analysis of clipping effect in color images captured by CCD cameras", Sensors 2004 Proceedings of IEEE 24-27.
22. Rodden, K., Wood, K.R. 2003. Searching and organizing: How do people manage their digital photographs?. In Proc. of SIGCHI.
23. Savakis, A., Etz, S., and Loui A. 2000, Evaluation of image appeal in consumer photography, in Proc. SPIE vol. 3959.
24. Smith, J. R. et al., 2003. Interactive search fusion methods for video database retrieval. In Proc. of IEEE ICIP.
25. Tominaga, S. and Wandell, B.A. 2002. Natural sceneilluminant estimation using the sensor correlation. In Proc. of the IEEE, 90(1):42-56.
26. Tong, H., et al. 2004. Classification of digital photos taken by photographers or home users. Proc. Pacific-Rim Conference on Multimedia.
27. Winkler, S. 2001. Visual Fidelity and Perceived Quality: Towards Comprehensive Metrics, in Proc. of SPIE, vol.4299.
28. Zhang, L., et al. 2006. Enjoyphoto - A vertical image search engine for enjoying high-quality photos. In Proc. of ACM Multimedia.