Weighted Entropy Coding and Fractional Rate–Distortion Trade-Off for HEVC Encoder with Emphasis on Global Bit Rate

The existence of the mass collection of the videos in the multimedia environment has provided endless service to the users such that the service offered should be of high quality and with low bit rates. With this concept in mind, video compression comes into existence that compresses the video by su...

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Bibliographic Details
Published in:Wireless personal communications 2020-03, Vol.111 (1), p.267-292
Main Authors: Jankar, Jayashree R., Shah, Sanjeevani K.
Format: Article
Language:English
Subjects:
Coders
Coding
Communications Engineering
Computer Communication Networks
Distortion
Engineering
Entropy
Experimentation
Motion simulation
Multimedia
Networks
Quality
Signal,Image and Speech Processing
Tradeoffs
Video compression
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Summary:The existence of the mass collection of the videos in the multimedia environment has provided endless service to the users such that the service offered should be of high quality and with low bit rates. With this concept in mind, video compression comes into existence that compresses the video by sustaining the original quality of the video. The proposed FWE-HEVC method introduces a new video compression strategy such that the quality is not degraded and in addition, it offers a higher degree of compression. The paper proposes weight entropy coding for video encoding and a new Rate–Distortion trade-off, named as the Fractional Rate–Distortion trade-off, for the motion estimation. The benefits of the fractional theory are inhibited in this paper. The proposed FWE-HEVC method reduces the bit rates to the half thus, promoting to the reduction in the dimensional area. The experimentation is performed using six videos taken from CIPR SIF Sequences and the proposed video compression method is analyzedin terms of the SSIM that proves that the quality of the video is sustained even after the compression. Moreover, the compression quality is reported as 86.7163% for single video and 83.6772% for multiple videos.
ISSN:0929-6212
1572-834X
DOI:10.1007/s11277-019-06857-2