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» Boosting Image Retrieval
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TMM
2010
249views Management» more  TMM 2010»
13 years 5 months ago
Bridging the Semantic Gap Between Image Contents and Tags
With the exponential growth of Web 2.0 applications, tags have been used extensively to describe the image contents on the Web. Due to the noisy and sparse nature in the human gene...
Hao Ma, Jianke Zhu, Michael R. Lyu, Irwin King
CVPR
2004
IEEE
15 years 12 days ago
Hidden Semantic Concept Discovery in Region Based Image Retrieval
This paper addresses Content Based Image Retrieval (CBIR), focusing on developing a hidden semantic concept discovery methodology to address effective semanticsintensive image ret...
Ruofei Zhang, Zhongfei (Mark) Zhang
VISUAL
2005
Springer
14 years 3 months ago
Compressed Domain Image Retrieval Using JPEG2000 and Gaussian Mixture Models
We describe and compare three probabilistic ways to perform Content Based Image Retrieval (CBIR) in compressed domain using images in JPEG2000 format. Our main focus are arbitrary ...
Alexandra Teynor, Wolfgang Müller, Wolfgang L...
BILDMED
2007
142views Algorithms» more  BILDMED 2007»
13 years 12 months ago
Interfacing Global and Local CBIR Systems for Medical Image Retrieval
Abstract. Contemporary picture archiving and communication systems are limited in managing large and varied image collections, because content-based image retrieval (CBIR) methods ...
Sameer Antani, Thomas Martin Deserno, L. Rodney Lo...
ICB
2009
Springer
170views Biometrics» more  ICB 2009»
14 years 3 months ago
Face Gender Classification on Consumer Images in a Multiethnic Environment
Abstract. In this paper, we target at face gender classification on consumer images in a multiethnic environment. The consumer images are much more challenging, since the faces cap...
Wei Gao, Haizhou Ai