Temporal video segmentation and classification of edit effects

SV Porter, M Mirmehdi, BT Thomas

Research output: Contribution to journalArticle (Academic Journal)peer-review

47 Citations (Scopus)

Abstract

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 form those caused by camera and object motion. We present a number of experiments in which we achieve better results compared with two established techniques.
Translated title of the contributionTemporal video segmentation and classification of edit effects
Original languageEnglish
Pages (from-to)1097 - 1106
Number of pages10
JournalImage and Vision Computing
Volume21 (13-14)
DOIs
Publication statusPublished - 1 Dec 2003

Bibliographical note

Publisher: Elsevier

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