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» Boosting Image Retrieval
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ICCV
2001
IEEE
15 years 8 days ago
Learning the Semantics of Words and Pictures
We present a statistical model for organizing image collections which integrates semantic information provided by associated text and visual information provided by image features...
Kobus Barnard, David A. Forsyth
MMDB
2004
ACM
148views Multimedia» more  MMDB 2004»
14 years 3 months ago
A unified framework for image database clustering and content-based retrieval
With the proliferation of image data, the need to search and retrieve images efficiently and accurately from a large image database or a collection of image databases has drastica...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
MMDB
2003
ACM
132views Multimedia» more  MMDB 2003»
14 years 3 months ago
Image database retrieval utilizing affinity relationships
Recent research effort in Content-Based Image Retrieval (CBIR) focuses on bridging the gap between low-level features and highlevel semantic contents of images as this gap has bec...
Mei-Ling Shyu, Shu-Ching Chen, Min Chen, Chengcui ...
WILF
2009
Springer
196views Fuzzy Logic» more  WILF 2009»
14 years 2 months ago
Interactive Image Retrieval in a Fuzzy Framework
In this paper, an interactive image retrieval scheme using MPEG-7 visual descriptors is proposed. The performance of image retrieval systems is still limited due to semantic gap, w...
Malay Kumar Kundu, Minakshi Banerjee, Priyank Bagr...
ICIP
2004
IEEE
14 years 12 months ago
CVPIC image retrieval based on block colour co-occurance matrix and pattern histogram
Compressed domain image processing techniques are becoming increasingly important. Compressed domain retrieval It allows the calculation of image features and hence content-based ...
Gerald Schaefer, Simon Lieutaud, Guoping Qiu