Title

A Multi-Level Framework For Video Shot Structuring

Abstract

Video shots provide the most basic meaningful segments for video analysis and understanding. In this paper, we present a detection and classification framework for the video shot segmentation in a coarse-to-fine fashion. The initial transitions are detected from a sub-sampled video space. These coarse segments are later refined in the original video space with the technique of illumination artifacts removal and transition finalization. The transition type (abrupt or gradual) are finally determined by exploiting the hislogram intersection plot. The proposed method has been tested on a large amount of videos, which contain a variety of types of shot transitions. Accurate and competitive results have been obtained. © Springer-Verlag Berlin Heidelberg 2005.

Publication Date

12-1-2005

Publication Title

Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)

Volume

3656 LNCS

Number of Pages

167-173

Document Type

Article; Proceedings Paper

Personal Identifier

scopus

DOI Link

https://doi.org/10.1007/11559573_21

Socpus ID

33645978971 (Scopus)

Source API URL

https://api.elsevier.com/content/abstract/scopus_id/33645978971

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