Innovative Shot Boundary Detection for Video Indexing

Innovative Shot Boundary Detection for Video Indexing

Shu-Ching Chen (Florida International University, USA), Mei-Ling Shyu (University of Miami, USA) and Chengcui Zhang (University of Alabama at Birmingham, USA)
Copyright: © 2005 |Pages: 20
DOI: 10.4018/978-1-59140-571-9.ch009
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Abstract

Recently, multimedia information, especially video data, has been made overwhelmingly accessible with the rapid advances in communication and multimedia computing technologies. Video is popular in many applications, which makes the efficient management and retrieval of the growing amount of video information very important. Toward such a demand, an effective video shot boundary detection method is necessary, which is a fundamental operation required in many multimedia applications. In this chapter, an innovative shot boundary detection method using an unsupervised segmentation algorithm and the technique of object tracking based on the segmentation mask maps is presented. A series of experiments on various types of video types are performed, and the experimental results show that our method can obtain object-level information of the video frames as well as accurate shot boundary detection, which are very useful for video content indexing.

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