Document Type

Journal Article

Department/Unit

Department of Computer Science

Title

Video-shot transition detection: A spatio-temporal saliency approach

Language

English

Abstract

This paper proposes a novel approach for video-shot transition detection using spatio-temporal saliency. Both temporal and spatial information are combined to generate a saliency map, and features are available based on the change of saliency. Considering the context of shot changes, a statistical detector is constructed to determine all types of shot transitions by the minimization of the detection-error probability simultaneously under the same framework. The evaluation performed on videos of various content types demonstrates that the proposed approach outperforms a more recent method and two publicly available systems, namely VideoAnnex and VCM. © 2010 World Scientific Publishing Company.

Keywords

Shot transition detection, spatial saliency, spatio-temporal saliency map, temporal saliency

Publication Date

2010

Source Publication Title

International Journal of Pattern Recognition and Artificial Intelligence

Volume

24

Issue

8

Start Page

1295

End Page

1309

Publisher

World Scientific Publishing

DOI

10.1142/S0218001410008366

Link to Publisher's Edition

http://dx.doi.org/10.1142/S0218001410008366

ISSN (print)

02180014

ISSN (electronic)

17936381

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