With the development of network and multimedia technology, image resources become more and more abundant, the traditional method which based on text keyword is unable to fulfill the demand of image retrieval. Content-Based Image Retrieval which becomes one of the hottest research topics in the field of image has emerged at the right moment. This
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With the development of computer technology, internet, and multi-media, as well as the mention of semantic web technology, network has become an important platform for us to learn. The sharp growth of multimedia data, especially digital cameras and mobile phone photograph popularization, the number of image information is growing rapidly. Image can express information vividly
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With the rapid development of computer networks and multimedia technology, the application areas of images become increasingly wide. The text or keyword based retrieval is becoming hard to meet the requirements in real applications, consequently the technology of content based image retrieval comes with the tide of fashion. As the products in the e-commerce are
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With the rapid development of multimedia information technology, the capacity of the databases which store a variety of multimedia resources is being increased; image database is a representative example. Faced with large-capacity image database, users urgently need a rational approach to quickly and accurately locate the images corresponding with the specific content and use these
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This paper mainly discussed on research and implementing of text-based image retrieval in the Uyghur, Kazak, Kirgiz search engine. By analyzing some search engine related technologies such as web crawlers, relevance ranking, information extraction, Information Indexing, this paper proposed solution of initial system and implemented text based image searching module of Uyghur, Kazak and Kirghiz
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Particle Swarm Optimization (PSO) is involved in one of the simplest swarm intelligence optimization algorithms, which could be applied in numerous fields such as neural network training and fuzzy system controlling. In recent years, PSO has been used to solve multiple optimization problems. However, some parameters that are required by many popular niching methods are
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After several decades of development, technologies of image retrieval and recognition have made great achievements and been widely applied in many fields, such as industrial manufacturing, finance, public security, judicial branch and military. They are not only fast and highly efficient, but also have superior accuracies compared with human. There is a close relationship between
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With the rapid development of Internet technology and multimedia technology, the number of digital images which people have access to get increases exponentially. Because of being content-rich and having direct visual performance, digital images are used in increasingly wide range of application areas, including national defense, medical, digital libraries, media, industrial technology, entertainment and so
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In recent years, it is impossible for us to use the simple features to realize the invariance of images in conditions of affine, zoom, pan and so on. The simple features are unable to satisfy the needs of us. Image invariant features have received wide attention for the invariant of affine, zoo, and pan. By
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With the development of high-speed computers, Internet and the popularity of the family of digital devices, a large number of digital photos, videos and other multimedia information are increasing rapidly. How quickly and accurately search in the multimedia database becomes an increasingly critical issue. The content-based image retrieval technology which analyzes images directly (such as
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