画像付き文書データストリームにおけるバースト検出手法-広島市立大学機関リポジトリ

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.

掲載雑誌名

2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集

開始ページ

終了ページ

出版年月日

2012-07

出版者

IEEE SMC Hiroshima Chapter

本文言語

日本語

資料タイプ

会議発表論文

著者版フラグ

著者版

権利情報

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