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     Research Journal of Applied Sciences, Engineering and Technology

    Abstract
2014(Vol.7, Issue:19)
Article Information:

Optimal Rate Control in H.264 Video Coding Based on Video Quality Metric

R. Karthikeyan, G. Sainarayanan and S.N. Deepa
Corresponding Author:  R. Karthikeyan 
Submitted: November 30, 2013
Accepted: December 24, 2013
Published: May 15, 2014
Abstract:
The aim of this research is to find a method for providing better visual quality across the complete video sequence in H.264 video coding standard. H.264 video coding standard with its significantly improved coding efficiency finds important applications in various digital video streaming, storage and broadcast. To achieve comparable quality across the complete video sequence with the constrains on bandwidth availability and buffer fullness, it is important to allocate more bits to frames with high complexity or a scene change and fewer bits to other less complex frames. A frame layer bit allocation scheme is proposed based on the perceptual quality metric as indicator of the frame complexity. The proposed model computes the Quality Index ratio (QIr) of the predicted quality index of the current frame to the average quality index of all the previous frames in the group of pictures which is used for bit allocation to the current frame along with bits computed based on buffer availability. The standard deviation of the perceptual quality indicator MOS computed for the proposed model is significantly less which means the quality of the video sequence is identical throughout the full video sequence. Thus the experiment results shows that the proposed model effectively handles the scene changes and scenes with high motion for better visual quality.

Key words:  AVC, frame layer bit allocation, H.264, perceptual video quality, rate control, ,
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Cite this Reference:
R. Karthikeyan, G. Sainarayanan and S.N. Deepa, . Optimal Rate Control in H.264 Video Coding Based on Video Quality Metric. Research Journal of Applied Sciences, Engineering and Technology, (19): 4064-4068.
ISSN (Online):  2040-7467
ISSN (Print):   2040-7459
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