High efficient video coding using weighted entropy with optimized quantization matrix

• Main Authors: Sunil Kumar B S, A.S. Manjunath, S. Christopher
• Format: Article
• Language: English
• Published: Elsevier 2020-09-01
• Series: Journal of King Saud University: Computer and Information Sciences
• Subjects: High-Efficiency Video Coding (HEVC); Video compression; Quantization matrix(QM); PSNR; Optimized quantization matrix
• Online Access: http://www.sciencedirect.com/science/article/pii/S1319157817302616

As the concept of quantization matrix becomes an important feature in recent video CODECs, an optimized quantization matrix is being considered in the High-Efficiency Video Coding (HEVC) standard. This paper describes the entropy encoding by familiarizing optimized quantization matrix, and so higher rate of compression can be accomplished over the improved entropy encoding. Experiments show that for the eight benchmark video sequences and PSNR for varying rate of data transmission is explored. Comparative analysis is made with the improved (WE-Encoding) and standard entropy encoding based on the performance measurements. The simulation results show that the proposed method (WE-OQM) can save the originality of the decoded video sequence far better even though the compression rate is increased. In addition, the overall analysis states that the proposed method is 35.29% better than the Standard Encoding and 62.5% better than the WE-Encoding.