Burst Detection Method for Image Document Stream
Extracting useful knowledge from a large-scale set of Web images, which are posted on the Internet, through social media sites, has become a new type of challenge. The main objective of this study is to extract the events and track the topics of a document stream that includes Web images, called an image document stream. This paper proposes a novel method for burst detection for an image document stream. The proposed method integrates a clustering technique with Kleinberg’s burst detection. The experimental results show that the proposed method can extract the events and track the topics related to Web images posted on social media sites.
2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集
IEEE SMC Hiroshima Chapter
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2012 IEEE SMC Hiroshima Chapter若手研究会, 2012年7月14日, 広島市立大学