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» Integrating Color, Texture, and Geometry for Image Retrieval
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CVPR
2000
IEEE
14 years 5 months ago
Integrating Color, Texture, and Geometry for Image Retrieval
This paper examines the problem of image retrieval from large, heterogeneous image databases. We present a technique that fulfills several needs identified by surveying recent res...
Nicholas R. Howe, Daniel P. Huttenlocher
CIVR
2005
Springer
107views Image Analysis» more  CIVR 2005»
13 years 9 months ago
Region Filtering Using Color and Texture Features for Image Retrieval
This paper presents a region-based image retrieval (RBIR) system in which users can choose specific regions as the query. Our goal is to assist the user to formulate more precise q...
Cheng-Chieh Chiang, Ming-Han Hsieh, Yi-Ping Hung, ...
ICARCV
2002
IEEE
121views Robotics» more  ICARCV 2002»
13 years 8 months ago
CIRES: a system for content-based retrieval in digital image libraries
This papers presents CIRES, a new online system for content-based retrieval in digital image libraries. Contentbased image retrieval systems have traditionally used color and text...
Qasim Iqbal, Jake K. Aggarwal
TMM
2002
163views more  TMM 2002»
13 years 3 months ago
Image segmentation and similarity of color-texture objects
Abstract-- We aim for content-based image retrieval of textured objects in natural scenes under varying illumination and viewing conditions. To achieve this, image retrieval is bas...
Theo Gevers
AIPR
2004
IEEE
13 years 7 months ago
An Image Retrieval System Using Multispectral Random Field Models, Color, and Geometric Features
This paper describes a novel color texture-based image retrieval system for the query of an image database to find similar images to a target image. The retrieval process involves...
Orlando J. Hernandez, Alireza Khotanzad