Paper
4 March 2013 Improved strategy of QP decision for hierarchical B pictures structure in SVC
Luna Jing, Lini Ma, Chaofu Zhang
Author Affiliations +
Proceedings Volume 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering; 876118 (2013) https://doi.org/10.1117/12.2020126
Event: Third International Conference on Photonics and Image in Agriculture Engineering (PIAGENG 2013), 2013, Sanya, China
Abstract
In Scalable Video Coding (SVC) the coding efficiency for hierarchical prediction structures is highly dependent on how to choose the quantization parameters (QP) for pictures of different temporal layers. For pictures that have strong temporal correlation and pictures at low bitrate, large peak SNR (PSNR) fluctuations will be produced when using the strategy presented in the proposal JVT-P014. In order to decrease the fluctuations this paper proposed a new method which combines the persistence of vision to decrease the fluctuations of the video quality. Simulated results show that the proposed technique is efficient. When compared with the method in the proposal JVT-P014, the PSNR difference decreases is about 20%, and it is more effectively for the pictures with strong temporal correlation. The algorithm in this paper provides valuable references for further study of optimizing encoder.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Luna Jing, Lini Ma, and Chaofu Zhang "Improved strategy of QP decision for hierarchical B pictures structure in SVC", Proc. SPIE 8761, PIAGENG 2013: Image Processing and Photonics for Agricultural Engineering, 876118 (4 March 2013); https://doi.org/10.1117/12.2020126
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Cited by 1 scholarly publication.
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KEYWORDS
Scalable video coding

Quantization

Video

Computer programming

Video compression

Signal to noise ratio

Video coding

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