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

URI http://harp.lib.hiroshima-u.ac.jp/hiroshima-cu/metadata/10448
File
Title
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
Title Alternative
Burst Detection Method for Image Document Stream
Author
氏名 田村 真吾
ヨミ タムラ シンゴ
別名 TAMURA Shingo
氏名 田村 慶一
ヨミ タムラ ケイイチ
別名 TAMURA Keiichi
氏名 北上 始
ヨミ キタカミ ハジメ
別名 KITAKAMI Hajime
氏名 平原 海詞
ヨミ ヒラハラ カイシ
別名 HIRAHARA Kaishi
Abstract

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.

Journal Title
2012 IEEE SMC Hiroshima Chapter Young Researchers' Workshop Proceedings = 2012 IEEE SMC Hiroshima Chapter 若手研究会講演論文集
Spage
47
Epage
50
Published Date
2012-07
Publisher
IEEE SMC Hiroshima Chapter
Language
jpn
NIIType
Conference Paper
Text Version
著者版
Rights
©Copyright by IEEE SMC Hiroshima Chapter. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting
republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Relation URL
Note

2012 IEEE SMC Hiroshima Chapter若手研究会, 2012年7月14日, 広島市立大学

Old URI
Set
hiroshima-cu