A multi-level framework for video shot structuring

    Authors

    Y. Zhai;M. Shah

    Comments

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    Keywords

    Computer Science, Artificial Intelligence; Computer Science, Information; Systems; Computer Science, Theory & Methods; Imaging Science &; Photographic Technology

    Abstract

    Video shots provide the most basic meaningful segments for video analysis and understanding. In this paper, we present a detection and classification framework for the video shot segmentation in a coarse-to-fine fashion. The initial transitions are detected from a sub-sampled video space. These coarse segments are later refined in the original video space with the technique of illumination artifacts removal and transition finalization. The transition type (abrupt or gradual) are finally determined by exploiting the histogram intersection plot. The proposed method has been tested on a large amount of videos, which contain a variety of types of shot transitions. Accurate and competitive results have been obtained.

    Journal Title

    Image Analysis and Recognition

    Volume

    3656

    Publication Date

    1-1-2005

    Document Type

    Article

    Language

    English

    First Page

    167

    Last Page

    173

    WOS Identifier

    WOS:000233991100021

    ISSN

    0302-9743; 3-540-29069-9

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