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.
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© 2004 Springer-Verlag Berlin Heidelberg
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Mo, H., Yamagishi, F., Ide, I., Katayama, N., Satoh, S., Sakauchi, M. (2004). Key Image Extraction from a News Video Archive for Visualizing Its Semantic Structure. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3331. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30541-5_80
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DOI: https://doi.org/10.1007/978-3-540-30541-5_80
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-23974-1
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