Scene change detection techniques for video database systems

被引:70
作者
Jiang, H [1 ]
Helal, A [1 ]
Elmagarmid, AK [1 ]
Joshi, A [1 ]
机构
[1] Purdue Univ, Dept Comp Sci, W Lafayette, IN 47907 USA
关键词
scene change detection; video segmentation; video databases; survey;
D O I
10.1007/s005300050087
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Scene change detection (SCD) is one of several fundamental problems in the design of a video database management system (VDBMS). It is the first step towards the automatic segmentation, annotation, and indexing of video data. SCD is also used in other aspects of VDBMS, e.g., hierarchical representation and efficient browsing of the video data. In this paper, we provide a taxonomy that classifies existing SCD algorithms into three categories: full-video-image-based, compressed-video-based, and model-based algorithms. The capabilities and limitations of the SCD algorithms are discussed in detail. The paper also proposes a set of criteria for measuring and comparing the performance of various SCD algorithms. We conclude by discussing some important research directions.
引用
收藏
页码:186 / 195
页数:10
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