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» Multiple-instance ranking: Learning to rank images for image...
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83
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NIPS
2004
14 years 11 months ago
Instance-Based Relevance Feedback for Image Retrieval
High retrieval precision in content-based image retrieval can be attained by adopting relevance feedback mechanisms. These mechanisms require that the user judges the quality of t...
Giorgio Giacinto, Fabio Roli
78
Voted
CIVR
2008
Springer
106views Image Analysis» more  CIVR 2008»
14 years 11 months ago
Scalable Markov model-based image annotation
In this paper, we propose a novel Markov model-based formulation for the image annotation problem. In this formulation, we treat image annotation as a graph ranking problem, by de...
Changhu Wang, Lei Zhang, Hong-Jiang Zhang
VLDB
2000
ACM
121views Database» more  VLDB 2000»
15 years 1 months ago
Optimizing Multi-Feature Queries for Image Databases
In digital libraries image retrieval queries can be based on the similarity of objects, using several feature attributes like shape, texture, color or text. Such multi-feature que...
Ulrich Güntzer, Wolf-Tilo Balke, Werner Kie&s...
CIVR
2009
Springer
141views Image Analysis» more  CIVR 2009»
15 years 29 days ago
Automatic retrieval of visual continuity errors in movies
Continuity errors occur in many movies and television series, in spite of careful checking by those employed to minimise them. In this work we develop a scheme for automatically d...
Lyndsey C. Pickup, Andrew Zisserman
ICPR
2008
IEEE
15 years 4 months ago
Ranking the local invariant features for the robust visual saliencies
Local invariant feature based methods have been proven to be effective in computer vision for object recognition and learning. But for an image, the number of points detected and ...
Shengping Xia, Peng Ren, Edwin R. Hancock