发明名称 Per-class key feature weighting method for image retrieval
摘要 <p>To set a weight for retrieving a large image, a key value affecting an image configuration is defined according to a visual word about an image. A cost function is determined to improve a classification between the classes of the image. A weight mapping function is determined through optimization. The large image is retrieved by re-ranking a query image after a subset is made without the weight for the query image and the weight is applied according to the class. [Reference numerals] (S100) Define the standard deviation in which the size of a visual word by class is normalized as a key value; (S110) Define a cost function by using the key value; (S120) Learn a weight mapping function through cost function optimization; (S130) Re-rank by a weight vector</p>
申请公布号 KR101427864(B1) 申请公布日期 2014.09.19
申请号 KR20120113149 申请日期 2012.10.11
申请人 发明人
分类号 G06F17/30 主分类号 G06F17/30
代理机构 代理人
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