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Any large library of information requires efficient ways to organise it and methods, which allow people to access information efficiently. Collections of digital images are no exception. In this proposal we present a framework based on social interaction, to automatically create rich and accurate tags for images using state-of-the-art computer vision techniques, fused with the wide range of context...
This paper takes the project of science and technology resources construction in Hebei Province as the background, on the foundation of introducing the science and technology resources image retrieval system structure, it emphasizes on the analysis of relevance feedback algorithm based on SVM (support vector machines) as well as itspsila application in the image retrieval of the science and technology...
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