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Title page for etd-0829105-125804


URN etd-0829105-125804 Statistics This thesis had been viewed 2564 times. Download 14 times.
Author Chun-Hao Hu
Author's Email Address No Public.
Department Communication Engineering
Year 2004 Semester 2
Degree Master Type of Document Master's Thesis
Language English Page Count 71
Title A PERCEPTUALLY OPTIMIZED H.264/AVC CODER BASED ON SELECTION OF COMPRESSION MODE
Keyword
  • mode selection
  • H.264
  • AVC
  • AVC
  • H.264
  • mode selection
  • Abstract    Video coding based on human visual system (HVS) has become an important subject in the area of video communication. However, the HVS is rarely used in standard codec. This paper focus on how to enhance the perceptual quality of H.264/AVC codec by means of improving the mode selection algorithm based on Human visual model. In the proposed mode selection algorithm, the perceptual minimum rate-distortion cost criterion would choose the best mode from various inter/intra prediction modes to optimize video quality on macro-block basis. In comparison with H.264 standard, our approach can choose the perceptually optimized compression mode for coding. By introducing threshold to adjust compression modes, the quantity of bits in each macro-block can be optimized so that important parts of frames can be displayed under the same bit rate. The simulation results show that, according to visual perception criterion, our proposed algorithm enhances video qualities compared to conventional H.264 standard.
    Advisor Committee
  • Chun-Hsien Chou - advisor
  • Dan-Shiu Tan - co-chair
  • Jia-Ching Cheng - co-chair
  • Files indicate in-campus access at one year and off-campus not accessible
    Date of Defense 2005-07-29 Date of Submission 2005-08-29


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