权益分类	功能权益	普通用户	{{item.name}}会员
{{category.name}}	{{benefitItem.name}}

Research on the Kansei Retrieval Methods for heterogeneous media Information

异构媒体信息感性检索方法研究

基本信息

批准号：
15300028
负责人：
KITAGAWA Takashi
金额：
$ 10.43万
依托单位：
University of Tsukuba
依托单位国家：
日本
项目类别：
Grant-in-Aid for Scientific Research (B)
财政年份：
2003
资助国家：
日本
起止时间：
2003 至 2005
项目状态：
已结题

项目摘要

This research realized the heterogeneous media information retrieval method based on Kansei. In this method, retrieval keywords and targets are arbitrary kind of mediadata which are accessible from wide-area network. In this research, mediadata were represented with the word as common media by using automatic extraction methods of words representing Kansei information for each mediadata. This research realized heterogeneous media connection by mapping these information into the universal space which can measure the distance between each word with unified operator reflecting human's Kansei. This research also realized the interoperability of different retrieval methods by connecting metadata for individual retrieval method and mediadata on a meta-level. This method enables the realization of multimedia database which have multiple retrieval function for various kind of mediadata.In this research, the operator which can map each mediadata into universal space corresponding to human's Kansei based on psychological research was realized. In conventional method, the focus was realizing a retrieval method with high effectiveness for single mediadata, however, this operator can erase the differences between Kansei information represented by words in existing media information retrieval systems.The realization of this method enables the newly information generation by connecting existing mediadata. In addition, this method extends the searcher's range of expression of retrieval keywords and enables the various information retrieval based on human's Kansei just as the searcher intended. This method increases access to existing mediadata and utility value of existing databases exponentially.

本研究实现了基于感性思维的异构媒体信息检索方法。在该方法中，检索关键词和检索目标是可以从广域网访问的任意类型的媒体。在本研究中，媒介是用词作为共同的媒体表示，通过使用自动提取的方法，代表感性信息的词，为每个媒介。本研究通过将这些信息映射到通用空间中，用反映人类感性的统一算子来度量每个词之间的距离，从而实现了异构媒体的连接。本研究还通过在元层次上连接检索方法元数据和媒体元数据，实现了不同检索方法的互操作。本研究在心理学研究的基础上，实现了将各种媒体映射到与人的感性相对应的普适空间的算子。传统方法的重点是实现对单一媒体的高效检索，而该算子可以消除现有媒体信息检索系统中词所代表的感性信息之间的差异，实现了连接现有媒体的新信息生成。此外，该方法还扩展了检索词的表达范围，使基于人的感性的各种信息检索成为可能。该方法以指数方式增加了对现有媒体的访问和现有数据库的实用价值。