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http://dx.doi.org/10.3745/KIPSTD.2005.12D.1.031

Video Data Classification based on a Video Feature Profile  

Son Jeong-Sik ((주)드림위즈)
Chang Joong-Hyuk (연세대학교 대학원 컴퓨터과학과)
Lee Won-Suk (연세대학교 컴퓨터과학과)
Publication Information
The KIPS Transactions:PartD / v.12D, no.1, 2005 , pp. 31-42 More about this Journal
Abstract
Generally, conventional video searching or classification methods are based on its meta-data. However, it is almost Impossible to represent the precise information of a video data by its meta-data. Therefore, a processing method of video data that is based on its meta-data has a limitation to be efficiently applied in application fields. In this paper, for efficient classification of video data, a classification method of video data that is based on its low-level data is proposed. The proposed method extracts the characteristics of video data from the given video data by clustering process, and makes the profile of the video data. Subsequently. the similarity between the profile and video data to be classified is computed by a comparing process of the profile and the video data. Based on the similarity. the video data is classified properly. Furthermore, in order to improve the performance of the comparing process, generating and comparing techniques of integrated profile are presented. A comparing technique based on a differentiated weight to improve a result of a comparing Process Is also Presented. Finally, the performance of the proposed method is verified through a series of experiments using various video data.
Keywords
Video Data Classification; Feature Profile; Data Mining; Clustering;
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