Similarity Searching In Statistical Figures Based On Extracted Meta Data
作者： Mohammad Mahdi Hassan , Wasfi Al Khatib
DOI: 10.1109/CGIV.2007.76
关键词:
摘要: Similarity searching is an excellent approach for getting information from subjective materials like images or videos. Some works on special domains have done. We focus statistical images. These kinds of some features that can be clearly extractable and useable in similarity searching. But there no significant work has been done this area. So we preliminary domain. By extensive analysis classify domain sub also identified the nature those considered as silent. develop a prototype based where store extracted meta data. Then devise strategy to do using standard query formulation.
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