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H.264 SVC Complexity Reduction Based on Likelihood Mode Decision
Joint Authors
Source
Issue
Vol. 2015, Issue 2015 (31 Dec. 2015), pp.1-10, 10 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2015-06-28
Country of Publication
Egypt
No. of Pages
10
Main Subjects
Medicine
Information Technology and Computer Science
Abstract EN
H.264 Advanced Video Coding (AVC) was prolonged to Scalable Video Coding (SVC).
SVC executes in different electronics gadgets such as personal computer, HDTV, SDTV, IPTV, and full-HDTV in which user demands various scaling of the same content.
The various scaling is resolution, frame rate, quality, heterogeneous networks, bandwidth, and so forth.
Scaling consumes more encoding time and computational complexity during mode selection.
In this paper, to reduce encoding time and computational complexity, a fast mode decision algorithm based on likelihood mode decision (LMD) is proposed.
LMD is evaluated in both temporal and spatial scaling.
From the results, we conclude that LMD performs well, when compared to the previous fast mode decision algorithms.
The comparison parameters are time, PSNR, and bit rate.
LMD achieve time saving of 66.65% with 0.05% detriment in PSNR and 0.17% increment in bit rate compared with the full search method.
American Psychological Association (APA)
Balaji, L.& Thyagharajan, K. K.. 2015. H.264 SVC Complexity Reduction Based on Likelihood Mode Decision. The Scientific World Journal،Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1078753
Modern Language Association (MLA)
Balaji, L.& Thyagharajan, K. K.. H.264 SVC Complexity Reduction Based on Likelihood Mode Decision. The Scientific World Journal No. 2015 (2015), pp.1-10.
https://search.emarefa.net/detail/BIM-1078753
American Medical Association (AMA)
Balaji, L.& Thyagharajan, K. K.. H.264 SVC Complexity Reduction Based on Likelihood Mode Decision. The Scientific World Journal. 2015. Vol. 2015, no. 2015, pp.1-10.
https://search.emarefa.net/detail/BIM-1078753
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-1078753