JAIST Repository: 画像内にあるオブジェクトに基づく画像検索システムの構築
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(2) Image Retrieval by Specifying Key Objects. Seigo Andou School of Knowledge Science, Japan Advanced Institute of Science and Technology March 2001 Keywords: image retrieval, content-based image retrieval, image retrieval by specifying key objects, higher order local autocorrelation This paper describes a image retrieval system by specifying key objects without cutting out objects from a picture. And compared to color-histogram. A general method cuts out objects from a picture, when registering a picture into a database. The system calculates the feature of objects. And the picture from which the object was cut out is registered. By the objects cut out from the picture, a system can perform exact retrieval. However, perfect registration of the object which is needed for retrieval is impossible. Generally, it is difficult to cut out objects from a picture. The system of this research does not cut out an object from a picture. This system searches a partial picture using all the features of a picture. This system searches a partial picture using higher order local autocorrelation. Compared with a color-histogram, this system has the somewhat good results of retrieval.. Copyright _ 2001 by Seigo Andou.
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