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AN IMPLEMENTATION METHOD OF A HETEROGENEOUS ASSOCIATIVE MEDIA DATA SEARCH FOR MUSIC DATA AND IMAGE DATA

机译:音乐数据和图像数据的异构关联媒体数据的实现方法

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This paper presents an implementation method of a heterogeneous associative media data search for music data and image data. It is important to realize a multimedia system which operates and integrates various kinds of multimedia data systematically in the framework of human sensitivity "Kansei." One of the important issues is a realization of media search corresponding to human sensitivity "Kan-sei" with less difficulty for a user. This method is realized using media-lexicon transformation operator, mathematical model of meaning, and Kansei operator. Media-lexicon transformation operator can extract of the impression words which corresponds to impressions of media data. Mathematical model of meaning can measure of the relation of each word extracted from this operator. The Kansei operator is used to adjust the expression with the interpretation of human sensitivity by the logarithm function based on Fechner's law. This method can realize integration between each existing media data only by implementing mechanism to convert into words from media data in each media. The feature of this method is a realization of integration between music data and image data.
机译:本文提出了一种针对音乐数据和图像数据的异构关联媒体数据搜索的实现方法。重要的是要实现在人类敏感度“关西”框架下系统地操作和集成各种多媒体数据的多媒体系统。重要的问题之一是实现与人类敏感度“关西”相对应的,对用户来说难度较小的媒体搜索。该方法是使用媒体词典转换算子,含义的数学模型和Kansei算子实现的。媒体词典转换操作员可以提取与媒体数据的印象相对应的印象词。含义数学模型可以衡量从此运算符提取的每个单词的关系。 Kansei运算符用于根据费希纳定律通过对数函数对人类敏感度的解释来调整表达式。该方法仅通过实现将每种媒体中的媒体数据转换成单词的机制就可以实现每个现有媒体数据之间的集成。该方法的特征是实现音乐数据和图像数据之间的集成。

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