An accurate scene segmentation method based on video structure analysis using PLSA : A note on definition of new shot similarity by sequence alignment

DOI Web Site 11 References
  • YAMAMOTO Makoto
    Graduate School of Information Science and Technology, Hokkaido University
  • HASEYAMA Miki
    Graduate School of Information Science and Technology, Hokkaido University

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Other Title
  • PLSAを用いた映像の構造解析に基づくシーン分割手法の高精度化 : Sequence Alignmentの導入による新たな類似度の定義(ITS画像処理,映像メディア,視覚および一般)
  • PLSAを用いた映像の構造解析に基づくシーン分割手法の高精度化--Sequence Alignmentの導入による新たな類似度の定義
  • PLSA オ モチイタ エイゾウ ノ コウゾウ カイセキ ニ モトズク シーン ブンカツ シュホウ ノ コウセイドカ Sequence Alignment ノ ドウニュウ ニ ヨル アラタ ナ ルイジド ノ テイギ

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Abstract

A method for accurate scene segmentation based on video structure analysis using sequences of continuous shots in audiovisual materials is proposed. In the proposed method, for efficient video structure analysis, similarities between the sequences of continuous shots are calculated by utilizing Dynamic Time Warping (DTW), one of the methods for sequence alignment. In this calculation, by applying Probabilistic Latent Semantic Analysis (PLSA) to audiovisual features extracted from the audiovisual materials, new features of the shots are obtained, and the proposed method newly introduces these features in definition of the costs used in DTW. Consequently, the proposed method can realize efficient video structure analysis based on the similarities between the sequences of continuous shots, and thereby accurate scene segmentation becomes feasible.

Journal

  • ITE Technical Report

    ITE Technical Report 34.6 (0), 123-128, 2010

    The Institute of Image Information and Television Engineers

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