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  • P-ISSN1013-0799
  • E-ISSN2586-2073

교육용 어학 영상의 내용 기반 특징 분석에 의한 샷 구분 및 색인에 대한 연구

A Study on Shot Segmentation and Indexing of Language Education Videos by Content-based Visual Feature Analysis

정보관리학회지, (P)1013-0799; (E)2586-2073
2017, v.34 no.1, pp.219-239
https://doi.org/10.3743/KOSIM.2017.34.1.219
한희준 (경기대학교 대학원 문헌정보학과)

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Abstract

As IT technology develops rapidly and the personal dissemination of smart devices increases, video material is especially used as a medium of information transmission among audiovisual materials. Video as an information service content has become an indispensable element, and it has been used in various ways such as unidirectional delivery through TV, interactive service through the Internet, and audiovisual library borrowing. Especially, in the Internet environment, the information provider tries to reduce the effort and cost for the processing of the provided information in view of the video service through the smart device. In addition, users want to utilize only the desired parts because of the burden on excessive network usage, time and space constraints. Therefore, it is necessary to enhance the usability of the video by automatically classifying, summarizing, and indexing similar parts of the contents. In this paper, we propose a method of automatically segmenting the shots that make up videos by analyzing the contents and characteristics of language education videos and indexing the detailed contents information of the linguistic videos by combining visual features. The accuracy of the semantic based shot segmentation is high, and it can be effectively applied to the summary service of language education videos.

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정보관리학회지