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  1. A500 情報学部/情報学研究科・情報文化学部・情報科学研究科
  2. A500a 雑誌掲載論文
  3. 学術雑誌

大規模放送映像アーカイブにおける出現パターンによる準同一映像区間の分類

http://hdl.handle.net/2237/21418
1c66c186-fff5-4641-af12-be1fa30bd40d
名前 / ファイル ライセンス アクション
IPSJ-JNL5212068.pdf IPSJ-JNL5212068.pdf (546.8 kB)
Item type 学術雑誌論文 / Journal Article(1)
公開日 2015-04-01
タイトル
タイトル 大規模放送映像アーカイブにおける出現パターンによる準同一映像区間の分類
その他のタイトル
その他のタイトル Classification of Near-duplicate Video Clips in a Large-scale Broadcast Video Archive Based on their Appearance Patterns
著者 社本, 裕司

× 社本, 裕司

WEKO 56614

社本, 裕司

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井手, 一郎

× 井手, 一郎

WEKO 56615

井手, 一郎

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出口, 大輔

× 出口, 大輔

WEKO 56616

出口, 大輔

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高橋, 友和

× 高橋, 友和

WEKO 56617

高橋, 友和

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村瀬, 洋

× 村瀬, 洋

WEKO 56618

村瀬, 洋

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Shamoto, Yuji

× Shamoto, Yuji

WEKO 56619

Shamoto, Yuji

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Ide, Ichiro

× Ide, Ichiro

WEKO 56620

Ide, Ichiro

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Deguchi, Daisuke

× Deguchi, Daisuke

WEKO 56621

Deguchi, Daisuke

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Takahashi, Tomokazu

× Takahashi, Tomokazu

WEKO 56622

Takahashi, Tomokazu

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Murase, Hiroshi

× Murase, Hiroshi

WEKO 56623

Murase, Hiroshi

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権利
権利情報 ここに掲載した著作物の利用に関する注意 本著作物の著作権は情報処理学会に帰属します。本著作物は著作権者である情報処理学会の許可のもとに掲載するものです。ご利用に当たっては「著作権法」ならびに「情報処理学会倫理綱領」に従うことをお願いいたします。 Notice for the use of this material The copyright of this material is retained by the Information Processing Society of Japan (IPSJ). This material is published on this web site with the agreement of the author (s) and the IPSJ. Please be complied with Copyright Law of Japan and the Code of Ethics of the IPSJ if any users wish to reproduce, make derivative work, distribute or make available to the public any part or whole thereof. All Rights Reserved, Copyright (C) Information Processing Society of Japan. Comments are welcome. Mail to address editj@ipsj.or.jp, please.
抄録
内容記述 我々は,日々増え続ける大量の放送映像からなるアーカイブを効果的かつ効率的に利用するために,映像内容に基づく構造化に取り組んでいる.本稿では,共通の枠組みの中で,様々な種類の放送映像を対象とした構造化を実現するための手段として,準同一(near-duplicate)映像の出現パターンに基づく分類を検討した結果を報告する.実際に,1,000時間規模の放送映像に対する実験により,約360万対の準同一映像区間を検出し,それを約4万個のクラスタにまとめた後,6種類の準同一映像クラスに分類した結果について分析することで,提案手法の効果と課題を明らかにする. We are focussing on the structuring of a broadcast video archive by video contents for its effective and efficient use. This paper reports the result of a study on the classification of near-duplicate video clips according to their appearance patterns, for the structuring of various genres of broadcast videos in one framework. As a result of an experiment applied to 1,000 hours of videos, 3.6 million pairs of near-duplicate video clips were detected, and grouped into 40,000 clusters. We then analyzed the results of a classification into six classes, to clarify the effectiveness and the future issues of the proposed framework.
内容記述タイプ Abstract
出版者
出版者 一般社団法人情報処理学会
言語
言語 jpn
資源タイプ
資源タイプresource http://purl.org/coar/resource_type/c_6501
タイプ journal article
ISSN
収録物識別子タイプ ISSN
収録物識別子 0387-5806
書誌情報 情報処理学会論文誌

巻 52, 号 12, p. 3593-3598, 発行日 2011-12
著者版フラグ
値 publisher
URI
識別子 http://id.nii.ac.jp/1001/00079562/
識別子タイプ URI
URI
識別子 http://hdl.handle.net/2237/21418
識別子タイプ HDL
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