Paper
14 December 2015 Layered HEVC/H.265 video transmission scheme based on hierarchical QAM optimization
Weidong Feng, Cheng Zhou, Chengyi Xiong, Shaobo Chen, Junxi Wang
Author Affiliations +
Proceedings Volume 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications; 98151D (2015) https://doi.org/10.1117/12.2209556
Event: Ninth International Symposium on Multispectral Image Processing and Pattern Recognition (MIPPR2015), 2015, Enshi, China
Abstract
High Efficiency Video Coding (HEVC) is the state-of-art video compression standard which fully support scalability features and is able to generate layered video streams with unequal importance. Unfortunately, when the base layer (BL) which is more importance to the stream is lost during the transmission, the enhancement layer (EL) based on the base layer must be discarded by receiver. Obviously, using the same transmittal strategies for BL and EL is unreasonable. This paper proposed an unequal error protection (UEP) system using different hierarchical amplitude modulation (HQAM). The BL data with high priority are mapped into the most reliable HQAM mode and the EL data with low priority are mapped into HQAM mode with fast transmission efficiency. Simulations on scalable HEVC codec show that the proposed optimized video transmission system is more attractive than the traditional equal error protection (EEP) scheme because it effectively balances the transmission efficiency and reconstruction video quality.
© (2015) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Weidong Feng, Cheng Zhou, Chengyi Xiong, Shaobo Chen, and Junxi Wang "Layered HEVC/H.265 video transmission scheme based on hierarchical QAM optimization", Proc. SPIE 9815, MIPPR 2015: Remote Sensing Image Processing, Geographic Information Systems, and Other Applications, 98151D (14 December 2015); https://doi.org/10.1117/12.2209556
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KEYWORDS
Video

Signal to noise ratio

Video compression

Electroluminescence

Receivers

Modulation

Quadrature amplitude modulation

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