An Optimized Dynamic Scene Change Detection Algorithm for H.264AVC Encoded Video Sequences
Joint Authors
Rascioni, Giorgio
Spinsante, Susanna
Gambi, Ennio
Source
International Journal of Digital Multimedia Broadcasting
Issue
Vol. 2010, Issue 2010 (31 Dec. 2010), pp.1-9, 9 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2010-03-22
Country of Publication
Egypt
No. of Pages
9
Main Subjects
Engineering Sciences and Information Technology
Telecommunications Engineering
Electronic engineering
Information Technology and Computer Science
Abstract EN
Scene change detection plays an important role in a number of video applications, including video indexing, semantic features extraction, and, in general, pre- and post-processing operations.
This paper deals with the design and performance evaluation of a dynamic scene change detector optimized for H.264/AVC encoded video sequences.
The detector is based on a dynamic threshold that adaptively tracks different features of the video sequence, to increase the whole scheme accuracy in correctly locating true scene changes.
The solution has been tested on suitable video sequences resembling real-world videos thanks to a number of different motion features, and has provided good performance without requiring an increase in decoder complexity.
This is a valuable issue, considering the possible application of the proposed algorithm in post-processing operations, such as error concealment for video decoding in typical error prone video transmission environments, such as wireless networks.
American Psychological Association (APA)
Rascioni, Giorgio& Spinsante, Susanna& Gambi, Ennio. 2010. An Optimized Dynamic Scene Change Detection Algorithm for H.264AVC Encoded Video Sequences. International Journal of Digital Multimedia Broadcasting،Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-504455
Modern Language Association (MLA)
Rascioni, Giorgio…[et al.]. An Optimized Dynamic Scene Change Detection Algorithm for H.264AVC Encoded Video Sequences. International Journal of Digital Multimedia Broadcasting No. 2010 (2010), pp.1-9.
https://search.emarefa.net/detail/BIM-504455
American Medical Association (AMA)
Rascioni, Giorgio& Spinsante, Susanna& Gambi, Ennio. An Optimized Dynamic Scene Change Detection Algorithm for H.264AVC Encoded Video Sequences. International Journal of Digital Multimedia Broadcasting. 2010. Vol. 2010, no. 2010, pp.1-9.
https://search.emarefa.net/detail/BIM-504455
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-504455