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An Implementation Method of Associative Search for Heterogenous Mediadata Utilizing the Mathematical Model of Meaning and its Application to Image Data and Facial Expression.

机译:利用含义数学模型的关联媒体数据和应用于图像数据和面部表情的关联搜索方法。

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This paper presents an implementation method of associative search for heterogenous mediadata. This method applies several recognition mechanisms of human "Kansei" for realizing associative search. The feature of this method is to bridge over heterogeneous mediadata which exist independently as different database resources. In this paper, we show an associative search method with media-to-media transformation from a picture to a facial expression. We clarify the effectiveness of our method by showing several experimental results.
机译:本文介绍了异构MediaData的关联搜索的实现方法。该方法应用人类“Kansei”的若干识别机制,以实现关联搜索。该方法的特征是桥接以异构MediaData桥接,其独立存在于不同的数据库资源。在本文中,我们将与从图片到面部表情的媒体到媒体转换显示一个关联搜索方法。我们通过显示几种实验结果来阐明我们方法的有效性。

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