Title page for etd-0830115-221717


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URN etd-0830115-221717
Author Cheng-Wei Lee
Author's Email Address No Public.
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Department Electrical Engineering
Year 2015
Semester 1
Degree Master
Type of Document
Language English
Title High Efficiency Video Coding: Source Coding and Scalable Transcoding by Texture Complexity Analysis
Date of Defense 2015-09-11
Page Count 72
Keyword
  • High Efficiency Video Coding (HEVC)
  • scalable video coding
  • video compression
  • video transcoding
  • inter coding
  • residual prediction
  • Abstract With the development of resolution of mobile devices and the growth of bandwidth of network transmission, the source coding and transcoding techniques play an important role in lives. Among video coding, texture complexity is one of the important information, and is generally used in the coding techniques. This thesis presents two methods via texture complexity in source coding and transcoding. In source coding, a novel two-layer residual prediction method (TRP) is proposed for High Efficiency Video Coding (HEVC) to improve the performance of inter prediction. The proposed TRP further predicts the redundant residual with reconstructed texture to enhance the coding performance of HEVC. In transcoding, a coding unit complexity-based unit prediction method (CUP) is proposed for Scalable High Efficiency Video Coding (SHVC) to save the encoding time in quality scalability. The proposed CUP predicts the coding unit and prediction unit by considering the decoding information of input stream. Experimental results show that the proposed methods outperform HEVC and SHVC by 3.40% and 77.83% in bitrate and encoding time reductions.
    Advisory Committee
  • Wu-Chih Hu - chair
  • Wen-Chuan Wu - co-chair
  • Chih-Yang Lin - co-chair
  • Chia-Hung Yeh - advisor
  • Files
  • etd-0830115-221717.pdf
  • Indicate in-campus at 5 year and off-campus access at 5 year.
    Date of Submission 2015-10-07

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