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» Ontology for Nature-Scene Image Retrieval
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ICIP
2006
IEEE
14 years 7 months ago
Perceptual Feature Selection for Semantic Image Classification
Content-based image retrieval has become an indispensable tool for managing the rapidly growing collections of digital images. The goal is to organize the contents semantically, a...
Dejan Depalov, Thrasyvoulos N. Pappas, Dongge Li, ...
TMM
2002
163views more  TMM 2002»
13 years 5 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 9 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
MIR
2004
ACM
105views Multimedia» more  MIR 2004»
13 years 10 months ago
Image recognition for digital libraries
The interpretation of natural scenes, generally so obvious and effortless for humans, still remains a challenge in computer vision. To allow the search of image-based documents i...
Bertrand Le Saux, Giuseppe Amato
SEMWEB
2005
Springer
13 years 10 months ago
Towards Imaging Large-Scale Ontologies for Quick Understanding and Analysis
In many practical applications, ontologies tend to be very large and complicated. In order for users to quickly understand and analyze large-scale ontologies, in this paper we prop...
Kewei Tu, Miao Xiong, Lei Zhang, Haiping Zhu, Jie ...