Abstract
We propose a novel news browsing system that can cluster photo news articles based on both textual features of articles and image features of news photos for a personal news database which is built by accumulating Web photo news articles. The system provides two types of clustering methods: normal clustering and thread-style clustering. It enables us to browse news articles over several weeks or months visually and find out useful news easily. In this paper, we describe an overview of our system, some examples of uses and user studies.
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References
Ide, I., Mo, H., Katayama, N.: Threading news video topics. In: Proc. of ACM SIGMM MIR, pp. 239–246 (2003)
Csurka, G., Bray, C., Dance, C.R., Fan, L.: Visual Categorization with Bags of Keypoints. In: Proc. of ECCV WS on Stat. Learn. in CV, pp. 1–22 (2004)
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© 2007 Springer-Verlag Berlin Heidelberg
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Iyota, T., Yanai, K. (2007). The Photo News Flusher: A Photo-News Clustering Browser. In: Ip, H.HS., Au, O.C., Leung, H., Sun, MT., Ma, WY., Hu, SM. (eds) Advances in Multimedia Information Processing – PCM 2007. PCM 2007. Lecture Notes in Computer Science, vol 4810. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-77255-2_60
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DOI: https://doi.org/10.1007/978-3-540-77255-2_60
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-77254-5
Online ISBN: 978-3-540-77255-2
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