DocumentCode
3203504
Title
Statistical multiplexing of H.264 programs
Author
Teixeira, Lucas ; Corte-Real, L.
Author_Institution
Univ. Catolica Portuguesa - CITAR, Porto
fYear
2007
fDate
25-28 Nov. 2007
Firstpage
621
Lastpage
625
Abstract
The advent of H.264/AVC is going to change the way digital television programs are broadcast. Each program can be independently encoded or jointly encoded resulting thus in a more efficient way to distribute the available channel bandwidth. This paper presents a combined coding scheme for multi-program video transmission in which the channel capacity is distributed among the programs according to the program complexities. A complexity bit rate control algorithm based on the structural similarity index (SSIM) is proposed. SSIM metric is presented under the hypothesis that the human visual system (HSV) is very specialized in extracting structural information from a video sequence but not in extracting the errors. Thus, a measurement on structural distortion should give a better correlation to the subjective impression. Current simulations have demonstrated very promising results showing that the algorithm can effectively control the complexity of the multi-program encoding process whilst improving overall subjective.
Keywords
bandwidth allocation; channel capacity; correlation methods; digital video broadcasting; distortion; image sequences; statistical multiplexing; video coding; H.264/AVC program encoding; available channel bandwidth; channel capacity; complexity bit rate control algorithm; digital television broadcasting; human visual system; multiprogram video transmission; statistical multiplexing; structural distortion; structural information extraction; structural similarity index; subjective impression correlation; video sequence; Automatic voltage control; Bandwidth; Bit rate; Channel capacity; Data mining; Digital TV; Digital video broadcasting; Humans; TV broadcasting; Visual system;
fLanguage
English
Publisher
ieee
Conference_Titel
Intelligent and Advanced Systems, 2007. ICIAS 2007. International Conference on
Conference_Location
Kuala Lumpur
Print_ISBN
978-1-4244-1355-3
Electronic_ISBN
978-1-4244-1356-0
Type
conf
DOI
10.1109/ICIAS.2007.4658462
Filename
4658462
Link To Document