Title

A multi-level framework for video shot structuring

Authors

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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