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Research of Image Retrieval System Based on MPEG-7

Author: PengJing
Tutor: LinKeZheng
School: Harbin University of Science and Technology
Course: Applied Computer Technology
Keywords: Content-based image retrieval MPEG-7 Semantic Search Relevance feedback Support Vector Machine
CLC: TP391.3
Type: Master's thesis
Year: 2009
Downloads: 168
Quote: 2
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Abstract


With the rapid development of multimedia and network technology , content-based image retrieval CBIR become one of the hot spots of the current multimedia information retrieval research . The main idea is based on the rise characteristics of the image contains color, texture , shape , and the object's spatial relationship and other low - level image features and semantic analysis of the image information , MPEG -7 In order to regulate the multimedia content description starts international standards , it the description will be linked to the information content , so that the image retrieval becomes possible to quickly and effectively achieve . This article focused on the MPEG-7 color , texture , shape and other low-level features and the semantics of high-level characteristics to analyze image information , combined with relevance feedback image retrieval and experimental analysis . The main research the following : 1 . Proposed by MPEG-7 dominant color and color layout to extract color descriptors ; Gabor wavelet and edge histogram extracted texture descriptors ; ART and CSS were extracted MPEG-7 area shape and contour shape descriptor ; dynamically adjust the weights of the multi-feature multi-feature image retrieval ; experimental analysis is based on MPEG-7 low - level descriptors , experimental results show that the recall and precision of integrated multi-feature retrieval efficiency best. With feedback technology support vector machines SVM , SVM incremental learning method . The combination of color , texture , shape and characteristics of the image relevance feedback experimental analysis and compare SVM incremental learning algorithm . The experiments show that SVM progressive incremental learning algorithm can be used to improve the efficiency of the image retrieval . By MPEG-7 image description definition language DLL and the XML language semantic image extraction, to combine the XML semantic classification training to achieve the semantics of the MPEG-7 image retrieval , compared to the traditional keyword search , MPEG-7 semantic retrieval improve the efficiency of the image retrieval .

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CLC: > Industrial Technology > Automation technology,computer technology > Computing technology,computer technology > Computer applications > Information processing (information processing) > Retrieval machine
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