The Content-Driven Preprocessor of Images for MPEG-7 Descriptions

An image content-driven (CDP) preprocessor is proposed to activate the right MPEG-7 description tools for the recognized feature contents in one image. It determines automatically whether there are certain feature contents, such as color, texture or shape features, in one image and then performs pro...

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Main Authors: Jiann-Jone Chen, Cheng-Yi Liu, Feng-Cheng Chang
Format: Article
Language:English
Published: International Institute of Informatics and Cybernetics 2003-06-01
Series:Journal of Systemics, Cybernetics and Informatics
Online Access:http://www.iiisci.org/Journal/CV$/sci/pdfs/001581.pdf
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author Jiann-Jone Chen
Cheng-Yi Liu
Feng-Cheng Chang
author_facet Jiann-Jone Chen
Cheng-Yi Liu
Feng-Cheng Chang
author_sort Jiann-Jone Chen
collection DOAJ
description An image content-driven (CDP) preprocessor is proposed to activate the right MPEG-7 description tools for the recognized feature contents in one image. It determines automatically whether there are certain feature contents, such as color, texture or shape features, in one image and then performs processing to generate the corresponding descriptors. The CDP's most distinguished characteristic is that there are no redundant computations from the image content categorization down to the descriptor generation. Experiments show that the proposed CDP framework effectively categorizes images with accuracy up to 99%. We also proposed a practical content-based image retrieval (CBIR) system which integrate the CDP framework with a user-friendly MPEG-7 testbed. Simulations of CDP-based CBIR demonstrate that the CDP helps much in improving the subjective retrieval performance. This CBIR framework provide excellent _exibility such that it could be easily adapted to meet speci_c application requirements.
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spelling doaj.art-f5a83dd9f1f843eb80738f1bd6209c022022-12-21T23:35:00ZengInternational Institute of Informatics and CyberneticsJournal of Systemics, Cybernetics and Informatics1690-45242003-06-01134550The Content-Driven Preprocessor of Images for MPEG-7 DescriptionsJiann-Jone Chen0Cheng-Yi Liu1Feng-Cheng Chang2 Department of Electrical Engineering, National Taiwan University of Science and Technology Computer Commun. Labs., Industrial Technology Research Institute Department of Electronic Engineering, National Chiao-Tung University An image content-driven (CDP) preprocessor is proposed to activate the right MPEG-7 description tools for the recognized feature contents in one image. It determines automatically whether there are certain feature contents, such as color, texture or shape features, in one image and then performs processing to generate the corresponding descriptors. The CDP's most distinguished characteristic is that there are no redundant computations from the image content categorization down to the descriptor generation. Experiments show that the proposed CDP framework effectively categorizes images with accuracy up to 99%. We also proposed a practical content-based image retrieval (CBIR) system which integrate the CDP framework with a user-friendly MPEG-7 testbed. Simulations of CDP-based CBIR demonstrate that the CDP helps much in improving the subjective retrieval performance. This CBIR framework provide excellent _exibility such that it could be easily adapted to meet speci_c application requirements.http://www.iiisci.org/Journal/CV$/sci/pdfs/001581.pdf
spellingShingle Jiann-Jone Chen
Cheng-Yi Liu
Feng-Cheng Chang
The Content-Driven Preprocessor of Images for MPEG-7 Descriptions
Journal of Systemics, Cybernetics and Informatics
title The Content-Driven Preprocessor of Images for MPEG-7 Descriptions
title_full The Content-Driven Preprocessor of Images for MPEG-7 Descriptions
title_fullStr The Content-Driven Preprocessor of Images for MPEG-7 Descriptions
title_full_unstemmed The Content-Driven Preprocessor of Images for MPEG-7 Descriptions
title_short The Content-Driven Preprocessor of Images for MPEG-7 Descriptions
title_sort content driven preprocessor of images for mpeg 7 descriptions
url http://www.iiisci.org/Journal/CV$/sci/pdfs/001581.pdf
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