Publication Type

Journal Article

Version

publishedVersion

Publication Date

8-2001

Abstract

We present a novel approach for video partitioning by detecting three essential types of camera breaks, namely cuts, wipes, and dissolves. The approach is based on the analysis of temporal slices which are extracted from the video by slicing through the sequence of video frames and collecting temporal signatures. Each of these slices contains both spatial and temporal information from which coherent regions are indicative of uninterrupted video partitions separated by camera breaks. Properties could further be extracted from the slice for both the detection and classification of camera breaks. For example, cut and wipes are detected by color-texture properties, while dissolves are detected by statistical characteristics. The approach has been tested by extensive experiments.

Keywords

cut detection, color-texture segmentation, dissolve detection, spatio-temporal pattern, spatio-temporal slice, video partitioning, wipe detection

Discipline

Data Storage Systems | Graphics and Human Computer Interfaces

Research Areas

Intelligent Systems and Optimization

Publication

IEEE Transactions on Circuits and Systems for Video Technology

Volume

11

Issue

8

First Page

941

Last Page

953

ISSN

1051-8215

Identifier

10.1109/76.937435

Publisher

Institute of Electrical and Electronics Engineers

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