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» Textural Features and Relevance Feedback for Image Retrieval
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PRIS
2001
15 years 1 months ago
Relevance Feedback in Content-based Image Search
: Content-based image retrieval (CBIR) is a research area dedicated to address the retrieve and search multimedia documents for digital libraries. Relevance feedback is a powerful ...
HongJiang Zhang
AIPR
2004
IEEE
15 years 3 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
VISUAL
2000
Springer
15 years 3 months ago
Wavelet-Based Salient Points: Applications to Image Retrieval Using Color and Texture Features
In image retrieval, global features related to color or texture are commonly used to describe the image. The use of interest points in contentbased image retrieval allows image ind...
Etienne Loupias, Nicu Sebe
CVPR
2001
IEEE
16 years 1 months ago
Adaptive Quasiconformal Kernel Metric for Image Retrieval
This paper presents a new approach to ranking relevant images for retrieval. Distance in the feature space associated with a kernel is used to rank relevant images. An adaptive qu...
Douglas R. Heisterkamp, Jing Peng, H. K. Dai
ISM
2008
IEEE
150views Multimedia» more  ISM 2008»
15 years 6 months ago
Combining Global with Local Texture Information for Image Retrieval Applications
This paper proposes a new texture descriptor to guide the search and retrieval in image databases. It extracts rich information from global and local primitives of textured images...
Javier A. Montoya-Zegarra, Jan Beeck, Neucimar Jer...