Key image extraction from a news video archive for visualizing its semantic structure

Authors:
Hiroshi Mo;Fuminori Yamagishi;Ichiro Ide;Norio Katayama;Shin’ichi Satoh;Masao Sakauchi
Affiliations:
National Institute of Informatics, Tokyo, Japan;Graduate School of Information Science and Technology, The University of Tokyo;Graduate School of Information Science, Nagoya University;National Institute of Informatics, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan;National Institute of Informatics, Tokyo, Japan
Venue:
PCM'04 Proceedings of the 5th Pacific Rim conference on Advances in Multimedia Information Processing - Volume Part I
Year:
2004

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Abstract

Recently, it has become possible to handle a large amount of video data with a video archive system. It is very important that a video data is structured based on semantics for useful access to a large video archive. Video data is consisted of images, sounds and texts. Therefore video data should be structured by using their information in multi-modality. In this paper, we introduce a method to extract the key images for visualizing the semantic structure of news video archive by analyzing semantic structure using both images and texts.