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» Diversity in multimedia information retrieval research
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CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
15 years 6 months ago
Unsupervised multi-feature tag relevance learning for social image retrieval
Interpreting the relevance of a user-contributed tag with respect to the visual content of an image is an emerging problem in social image retrieval. In the literature this proble...
Xirong Li, Cees G. M. Snoek, Marcel Worring
MIR
2005
ACM
141views Multimedia» more  MIR 2005»
15 years 7 months ago
A mutual semantic endorsement approach to image retrieval and context provision
Learning semantics from annotated images to enhance content-based retrieval is an important research direction. In this paper, annotation data are assumed available for only a sub...
Jia Li
MIR
2005
ACM
137views Multimedia» more  MIR 2005»
15 years 7 months ago
A content-based image retrieval system for fish taxonomy
It is estimated that less than ten percent of the world’s species have been discovered and described. The main reason for the slow pace of new species description is that the sc...
Yixin Chen, Henry L. Bart Jr., Fei Teng
159
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DIMEA
2008
223views Multimedia» more  DIMEA 2008»
15 years 3 months ago
Toward accessible 3D virtual environments for the blind and visually impaired
3D virtual environments are increasingly used for education, business and recreation but are often inaccessible to users who are visually impaired, effectively creating a digital ...
Gareth R. White, Geraldine Fitzpatrick, Graham McA...
MM
2010
ACM
199views Multimedia» more  MM 2010»
15 years 2 months ago
TOP-SURF: a visual words toolkit
TOP-SURF is an image descriptor that combines interest points with visual words, resulting in a high performance yet compact descriptor that is designed with a wide range of conte...
Bart Thomee, Erwin M. Bakker, Michael S. Lew