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H.264 SVC Complexity Reduction Based on Likelihood Mode Decision.

Balaji L, Thyagharajan KK - ScientificWorldJournal (2015)

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Information & Communication, Anna University, Chennai 600025, India ; Department of ECE, Velammal Institute of Technology, Panchetti, Tamil Nadu 601204, India.

ABSTRACT
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.

No MeSH data available.


Intermode distribution over average likeliness.
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fig1: Intermode distribution over average likeliness.

Mentions: Table 2 discloses the outcome of the likelihood standard when addressed for the video sequences. The set of intermodes in set Q has the full likeliness of being prime mode. The intermodes not in set Q will have less likelihood to be prime mode. A contrastive analysis of standard likelihood with the video sequences of intermode distribution is shown in Figure 1.


H.264 SVC Complexity Reduction Based on Likelihood Mode Decision.

Balaji L, Thyagharajan KK - ScientificWorldJournal (2015)

Intermode distribution over average likeliness.
© Copyright Policy - open-access
Related In: Results  -  Collection

Show All Figures
getmorefigures.php?uid=PMC4499453&req=5

fig1: Intermode distribution over average likeliness.
Mentions: Table 2 discloses the outcome of the likelihood standard when addressed for the video sequences. The set of intermodes in set Q has the full likeliness of being prime mode. The intermodes not in set Q will have less likelihood to be prime mode. A contrastive analysis of standard likelihood with the video sequences of intermode distribution is shown in Figure 1.

Bottom Line: 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.

View Article: PubMed Central - PubMed

Affiliation: Faculty of Information & Communication, Anna University, Chennai 600025, India ; Department of ECE, Velammal Institute of Technology, Panchetti, Tamil Nadu 601204, India.

ABSTRACT
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.

No MeSH data available.