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1763views
15 years 11 months ago
Reranking with Contextual dissimilarity measures from representational Bregman k-means
We present a novel reranking framework for Content Based Image Retrieval (CBIR) systems based on con-textual dissimilarity measures. Our work revisit and extend the method of Perro...
Olivier Schwander, Frank Nielsen
MIR
2010
ACM
176views Multimedia» more  MIR 2010»
15 years 10 months ago
Object-based tag propagation for semi-automatic annotation of images
Over the last few years, social network systems have greatly increased users’ involvement in online content creation and annotation. Since such systems usually need to deal with...
Ivan Ivanov, Peter Vajda, Lutz Goldmann, Jong-Seok...
TIFS
2010
307views more  TIFS 2010»
15 years 1 months ago
Face matching and retrieval using soft biometrics
—Soft biometric traits embedded in a face (e.g., gender and facial marks) are ancillary information and are not fully distinctive by themselves in face-recognition tasks. However...
Unsang Park, Anil K. Jain
MM
2010
ACM
191views Multimedia» more  MM 2010»
15 years 1 months ago
Quantifying tag representativeness of visual content of social images
Social tags describe images from many aspects including the visual content observable from the images, the context and usage of images, user opinions and others. Not all tags are ...
Aixin Sun, Sourav S. Bhowmick
CVPR
2004
IEEE
16 years 5 months ago
Multiple Bernoulli Relevance Models for Image and Video Annotation
Retrieving images in response to textual queries requires some knowledge of the semantics of the picture. Here, we show how we can do both automatic image annotation and retrieval...
Shaolei Feng, Raghavan Manmatha, Victor Lavrenko