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» A New Indexing Scheme for Content-Based Image Retrieval
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MTA
1998
119views more  MTA 1998»
13 years 4 months ago
A New Indexing Scheme for Content-Based Image Retrieval
We propose a new efficient indexing scheme, called the HG-tree, to support content-based retrieval in image databases. Image content is represented by a point in a multidimensional...
Guang-Ho Cha, Chin-Wan Chung
ICIP
1999
IEEE
14 years 6 months ago
A Neural Network Approach to Interactive Content-Based Retrieval of Video Databases
A neural network scheme is presented in this paper for adaptive video indexing and retrieval. First, a limited but characteristic amount of frames are extracted from each video sc...
Nikolaos D. Doulamis, Anastasios D. Doulamis, Stef...
MVA
2000
203views Computer Vision» more  MVA 2000»
13 years 6 months ago
An Environment to Test Progressive Refinement of Indexing for Content-Based Image Retrieval
Content-based image retrieval is a fairly new discipline. Yet research in this field has highlighted many approaches that show good performance in specific subproblems using singl...
Maria Grazia Albanesi, Marco Ferretti, Alessandro ...
CVPR
2008
IEEE
14 years 6 months ago
Private Content Based Image Retrieval
For content level access, very often database needs the query as a sample image. However, the image may contain private information and hence the user does not wish to reveal the ...
Jagarlamudi Shashank, Palivela Kowshik, Kannan Sri...
ICMCS
2007
IEEE
149views Multimedia» more  ICMCS 2007»
13 years 11 months ago
An Empirical Study on Large-Scale Content-Based Image Retrieval
One key challenge in content-based image retrieval (CBIR) is to develop a fast solution for indexing high-dimensional image contents, which is crucial to building large-scale CBIR...
Yuk Man Wong, Chu-Hong Hoi, Michael R. Lyu