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» Textural Features and Relevance Feedback for Image Retrieval
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CIVR
2010
Springer
199views Image Analysis» more  CIVR 2010»
15 years 4 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
ICASSP
2008
IEEE
15 years 6 months ago
Graph laplacian for interactive image retrieval
Interactive image search or relevance feedback is the process which helps a user refining his query and finding difficult target categories. This consists in a step-by-step lab...
Hichem Sahbi, Patrick Etyngier, Jean-Yves Audibert...
PR
2002
121views more  PR 2002»
14 years 11 months ago
Statistical correlation analysis in image retrieval
A statistical correlation model for image retrieval is proposed. This model captures the semantic relationships among images in a database from simple statistics of userprovided r...
Mingjing Li, Zheng Chen, HongJiang Zhang
ERCIMDL
1997
Springer
169views Education» more  ERCIMDL 1997»
15 years 4 months ago
Relevance Feedback and Query Expansion for Searching the Web: A Model for Searching a Digital Library
: A fully operational large scale digital library is likely to be based on a distributed architecture and because of this it is likely that a number of independent search engines m...
Alan F. Smeaton, Francis Crimmins
MM
2004
ACM
167views Multimedia» more  MM 2004»
15 years 5 months ago
Learning an image manifold for retrieval
We consider the problem of learning a mapping function from low-level feature space to high-level semantic space. Under the assumption that the data lie on a submanifold embedded ...
Xiaofei He, Wei-Ying Ma, HongJiang Zhang