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» Image database retrieval utilizing affinity relationships
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TIFS
2010
307views more  TIFS 2010»
13 years 5 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
ICDE
2007
IEEE
175views Database» more  ICDE 2007»
14 years 8 months ago
Dynamic Batch Nearest Neighbor Search in Video Retrieval
To retrieve similar database videos to a query clip, each video is typically represented by a sequence of highdimensional feature vectors. Given a query video containing m feature...
Jie Shao, Zi Huang, Heng Tao Shen, Xiaofang Zhou, ...
CIVR
2006
Springer
126views Image Analysis» more  CIVR 2006»
13 years 10 months ago
Semantics Supervised Cluster-Based Index for Video Databases
High-dimensional index is one of the most challenging tasks for content-based video retrieval (CBVR). Typically, in video database, there exist two kinds of clues for query: visual...
Zhiping Shi, Qingyong Li, Zhiwei Shi, Zhongzhi Shi
DEXA
2001
Springer
112views Database» more  DEXA 2001»
13 years 11 months ago
An Information-Driven Framework for Image Mining
Image mining systems that can automatically extract semantically meaningful information (knowledge) from image data are increasingly in demand. The fundamental challenge in image m...
Ji Zhang, Wynne Hsu, Mong-Li Lee
EDBT
2008
ACM
169views Database» more  EDBT 2008»
14 years 6 months ago
Efficient online top-K retrieval with arbitrary similarity measures
The top-k retrieval problem requires finding k objects most similar to a given query object. Similarities between objects are most often computed as aggregated similarities of the...
Prasad M. Deshpande, Deepak P, Krishna Kummamuru