Temporal video segmentation and classification of edit effects

被引：32

作者：

Porter, S ^{[1
]}

Mirmehdi, M ^{[1
]}

Thomas, B ^{[1
]}

机构：

[1] Univ Bristol, Dept Comp Sci, Bristol BS8 1UB, Avon, England

来源：

IMAGE AND VISION COMPUTING | 2003年 / 21卷 / 13-14期

关键词：

shot transitions; shot break detection; shot classification; video segmentation;

D O I：

10.1016/j.imavis.2003.08.014

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

The process of shot break detection is a fundamental component in automatic video indexing, editing and archiving. This paper introduces a novel approach to the detection and classification of shot transitions in video sequences including cuts, fades and dissolves. It uses the average inter-frame correlation coefficient and block-based motion estimation to track image blocks through the video sequence and to distinguish changes caused by shot transitions from those caused by camera and object motion. We present a number of experiments in which we achieve better results compared with two established techniques. (C) 2003 Elsevier B.V. All rights reserved.

引用

页码：1097 / 1106

页数：10

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