Video perception enhancement using effective encoding optimization in future generation wireless network

Abstract

The cumulative effects of network transmission link imperfections and real-time limitations of video data result in multiple challenges for video transmission in massive millimeter wave (mmwave) network. The challenges, together with the increasing expectations of users for good-quality videos, further extend the complexity particularly in dense areas. To address the issues this work proposes perceptual quality aware video encoding (PQAVE) scheme in two phases: in phase 1 an effective perceptual quality encoding method leveraging low-rank approximation to reduce overall video size is done. In phase 2, a novel bitstream optimization technique is introduced to improve perceptual quality of videos. Experiment are conducted using standard video dataset show the proposed PQAVE model attain better bit error rate (BER), symbol error rate (SER), error vector magnitude (EVM), and coding gain in comparison with existing perceptual video encoding scheme.