Title page for etd-0605109-162538


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URN etd-0605109-162538
Author Ming-te Wu
Author's Email Address No Public.
Statistics This thesis had been viewed 5355 times. Download 1173 times.
Department Electrical Engineering
Year 2008
Semester 2
Degree Ph.D.
Type of Document
Language English
Title Coding Performance Enhancement: Motion Estimation and Video Transcoding
Date of Defense 2009-05-22
Page Count 125
Keyword
  • video transcoding
  • motion estimation
  • Abstract With the rapid growth of multimedia information, video coding standards have become crucial when transmitting large amount of video data. Motion estimation promises to be the key to high performance in video coding by removing the temporal redundancy of video data for storage and transmission. Video transcoding also becomes a significant scheme applied in different bandwidth transform. Due to their fundamentality, research works on motion estimation and video transcoding have been conducted extensively. In this thesis, an overview of video compression technique is presented with emphasis on motion estimation. Then, a survey of most representative motion estimation search algorithms and the proposed motion estimation algorithms are introduced. The evaluation and analysis of these algorithms based on a number of experiments on several famous test video sequences is presented. In addition, an efficient video transcoding via visual attention model with Lagrange optimization to minimum rate-distortion cost is proposed. Finally, an investigation of the future trend of video coding is discussed. Through the proposed algorithms of motion estimation, the computational complexity can be significantly reduced despite the fact that the objective quality of motion compensated images is slightly degraded. Moreover, through the proposed video transcoding method, the bit rate can be reduced to fit the requirement of bandwidth.
    Advisory Committee
  • Hong-Yuan Liao - chair
  • Hsuan-Ting Chang - co-chair
  • Chia-Wen Lin - co-chair
  • Jar-Ferr Yang - co-chair
  • Mei-Juan Chen - co-chair
  • Chia-Hung Yeh - advisor
  • Shiunn-Jang Chern - advisor
  • Files
  • etd-0605109-162538.pdf
  • indicate accessible in a year
    Date of Submission 2009-06-05

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