Affective retrieval: Multimedia data retrieval based on impression

T. Hochin
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Abstract

Summary form only given. Affective computing and affective engineering have attracted the interests of researchers in the field of information science. Feelings, sensitivity, impressions, and emotions are treated in affective engineering. Multimedia data including pictures, music pieces, and movies give us some impression. Impression should be considered in the multimedia data retrieval. This means that the similarity of multimedia data includes the factor of impression. In the affective retrieval, the similarity of data depends on the similarity of impression. Additionally, impressive words may be specified in retrieval conditions. For example, we may specify the word “fresh” in retrieving pictures and/or music pieces. In order to realize the affective retrieval, impression must be analyzed, and the degrees of impression must be derived or calculated, and be used. In this talk, the background and the end of affective retrieval are presented. Major approaches to affective retrieval are surveyed. A prototype system of affective retrieval is introduced with the demonstration. This system retrieves multimedia data based on the similarity of impression. Impressive words could be specified in the retrieval. It is also shown that affective retrieval easily enables cross-media retrieval.
情感检索:基于印象的多媒体数据检索
只提供摘要形式。情感计算和情感工程已经引起了信息科学领域研究者的兴趣。感情、敏感、印象和情绪在情感工程中被处理。多媒体数据包括图片、音乐和电影给我们一些印象。在多媒体数据检索中应考虑印象问题。这意味着多媒体数据的相似性包含了印象因素。在情感检索中,数据的相似性取决于印象的相似性。此外,可以在检索条件中指定印象词。例如,我们可以在检索图片和/或音乐作品时指定单词“新鲜”。为了实现情感检索,必须对印象进行分析,对印象程度进行推导或计算,并加以利用。本文介绍了情感检索的研究背景和目的。综述了情感检索的主要方法。介绍了一个情感检索的原型系统,并进行了演示。该系统基于印象相似度对多媒体数据进行检索。印象深刻的词可以在检索中指定。研究还表明,情感检索容易实现跨媒体检索。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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