Temporal segmentation of video using frame and histogram space

被引：46

作者：

Joyce, RA ^{[1
]}

Liu, BD ^{[1
]}

机构：

[1] Princeton Univ, Dept Elect Engn, Princeton, NJ 08544 USA

来源：

IEEE TRANSACTIONS ON MULTIMEDIA | 2006年 / 8卷 / 01期

基金：

美国国家科学基金会;

关键词：

compressed video processing; dissolve detection; gradual transition detection; MPEG video; scene change detection; shot detection; wipe detection;

D O I：

10.1109/TMM.2005.861285

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 [计算机科学与技术];

摘要：

Two algorithms are presented for the detection of gradual transitions in video sequences. The first is a dissolve detection algorithm utilizing certain properties of a dissolve's trajectory in image-space. It is implemented both as a simple threshold-based detector, and as a parametric detector by modeling the error properties of the extracted statistics. The second is an algorithm to detect a wide variety of wipes based on image histogram characteristics during such transitions. Both algorithms operate in the compressed domain, requiring only partial decoding of the compressed video stream. Experiments show the algorithms perform as well as-and in some cases, better than-full-frame methods, on a wide variety of gradual transitions, and can operate significantly faster than real-time.

引用

页码：130 / 140

页数：11

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