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An Effective Keyword Extraction Method Based on Web Page Structure Analysis for Video Retrieval in WWW  

Lee, Jong-Won (청강문화산업대학 e스포츠게임과)
Choi, Gi-Seok (서강대학교 컴퓨터학과)
Jang, Ju-Yeon (서강대학교 컴퓨터학과)
Nang, Jong-Ho (서강대학교 컴퓨터학과)
Publication Information
Journal of KIISE:Computer Systems and Theory / v.35, no.3, 2008 , pp. 103-110 More about this Journal
Abstract
This paper proposes an effective keyword extraction method for the Web videos. The proposed method classifies the Web video pages in one of 4 types. As such, we analyzed the structure of the Web pages based on the number of videos and the layout of the Web pages. And then we applied the keyword extraction algorithm fit to each page type. The experiment with 1,087 Web pages that have total 2,462 videos showed that the recall of the proposed extraction method is 18% higher than ImagerRover[2]. So, the proposed method could be used to build a powerful video search system for WWW.
Keywords
Information Retrieval; Web video retrieval; Multimedia Information Retrieval; Keyword extraction for video;
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