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      Video summarisation: A conceptual framework and survey of the state of the art

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      Journal of Visual Communication and Image Representation
      Elsevier BV

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          Content-based multimedia information retrieval

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            Affective video content representation and modeling

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              Automatic soccer video analysis and summarization.

              We propose a fully automatic and computationally efficient framework for analysis and summarization of soccer videos using cinematic and object-based features. The proposed framework includes some novel low-level processing algorithms, such as dominant color region detection, robust shot boundary detection, and shot classification, as well as some higher-level algorithms for goal detection, referee detection, and penalty-box detection. The system can output three types of summaries: i) all slow-motion segments in a game; ii) all goals in a game; iii) slow-motion segments classified according to object-based features. The first two types of summaries are based on cinematic features only for speedy processing, while the summaries of the last type contain higher-level semantics. The proposed framework is efficient, effective, and robust. It is efficient in the sense that there is no need to compute object-based features when cinematic features are sufficient for the detection of certain events, e.g., goals in soccer. It is effective in the sense that the framework can also employ object-based features when needed to increase accuracy (at the expense of more computation). The efficiency, effectiveness, and robustness of the proposed framework are demonstrated over a large data set, consisting of more than 13 hours of soccer video, captured in different countries and under different conditions.
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                Author and article information

                Journal
                Journal of Visual Communication and Image Representation
                Journal of Visual Communication and Image Representation
                Elsevier BV
                10473203
                February 2008
                February 2008
                : 19
                : 2
                : 121-143
                Article
                10.1016/j.jvcir.2007.04.002
                20f09455-f0de-4bd6-b4d7-ee7e34860229
                © 2008

                http://www.elsevier.com/tdm/userlicense/1.0/

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