Diversity based Unequal Error Protection Techniques for Video Bitstream Compressed by HEVC Standard

Project: HDR ProjectPhD

Project Details


Video services have been incredibly stimulated in electronic communication and multimedia applications. In addition, quality of digital video has evolved from Video Graphics Array (VGA) to (Ultra High Definition) UHD and 4K in last few decades. As a result, video services contribute more than two-third of the internet traffic. Thus, bandwidth and noise are the major concerns in wireless video communications.
Video compression is an essential technique to transmit a video signal via a bandlimited transmission system. The video compression technology deals with the compression of the moving digital images which comprises of that video. High efficiency video coding (HEVC) is the latest video compression standard which compresses the information by 50 % more than its predecessor H.264, while maintaining comparable quality. However, high compressed bitstream become more vulnerable to the channel errors. Thus, it is important to develop a robust technique against the noise. Motivated by this fact, the main aim of this research is to develop a new error resiliency scheme to protect HEVC compressed bitstream using two well established unequal error protection (UEP) and multiple input multiple output (MIMO) concepts.
Effective start/end date1/03/19 → …


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