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Student Number 81345010
Author Kou-Sou Kan(甘果碩)
Author's Email Address No Public.
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Department Computer Science and Information Engineering
Year 1997
Semester 2
Degree Ph.D.
Type of Document Doctoral Dissertation
Language zh-TW.Big5 Chinese
Title Constant Video Bit-Rate Control and Transcoding Strategies for MPEG Video Compression
Date of Defense
Page Count 107
Keyword
  • bit rate control
  • Coding
  • Compression
  • MPEG
  • transcoding
  • Abstract Transmission of digital video via network has witnessed its
    popularity in  current Internet applications. With the
    standardization of MPEG video  coding, visual information
    transmission will no doubt play a major role  in future Nation
    Information Infrastructure (NII). NII supports different
    applications, such as Digital-TV (DTV), Video-On-Demand (VOD),
    and  High-Definition-Television (HDTV) over the inter-connected
    networks  with different transmission characteristics including
    circuit switching  and packet switching. Digital video
    transmission over the network  requires strict timing
    synchronization between the server site and  client site to
    guarantee real-time playback. Therefore, video coding  based on
    an appropriate bit rate control is a key to the success of
    accommodating visual communication in NII environment.  In this
    dissertation, two extremely efficient bit rate control
    algorithms are proposed for different applications: one is
    pseudo-constant bit rate video coder which is designed for
    source video compression, another is video transcoder which  is
    designed for scaling the compressed MPEG-2 bit steam. The
    proposed technique, Adaptive Scene Analysis (ASA), is applied to
    source video bit rate control. ASA intelligently collects
    required  information to obtain estimated bit count from the
    previous, present,  and future frames. Combining with a series
    of dynamic rate control  schemes, the ASA demonstrates
    impressive quality transition between  successive frames. In
    addition, the bit rate irregularities caused  by dramatic scene
    transition can be smoothed out in a very short period.  The
    decoded picture quality is consistent among the successive
    frames.  A comparison with the MPEG-2 Test Model 5 is also
    presented in this  dissertation. An extremely efficient MPEG-2
    video transcoding scheme, Low-Complexity  and Low-Delay Video
    Transcoding (LCLD) is also proposed in this dissertation  to
    freely adapt the bit rate of pre-compressed video into
    heterogeneous  network constraints. The proposed strategy,
    LCLD, has low buffer  requirement and results in low delay.
    Most importantly, the proposed  method does not need the
    computational intensive motion estimation.  Simulation results
    demonstrate that the proposed approach results in  very
    consistent video quality and maintains the buffer level
    effectively.  Comparing with direct decode/encode approach, the
    proposed scheme only  suffers slight quality degradation.
    Experimental results demonstrate that  the proposed approach
    can adapt the compressed video bit stream rate to  the various
    network channel capacities.
    Table of Content 中文論文本
    COVER
    CONTENTS
    CHAPTER 1 INTRODUCTION
    1.1 Motivations
    1.2 History Review
    1.3 Organization of The Dissertation
    CHAPTER 2 OVERVIEW OF MPEG GODING ALGORITHM
    2.1 Fundamentals of MPEG Coding Algorithm[26]
    2.2 MPRH-2 Coding[27,28,29]
    2.3 MPEG-2 Test Model 5 (TM5 ) Rate Control Mechanism[30]
    2.4 MPEG-2 Scalable Coding Extensions
    2.5 Summary
    CHAPTER 3 ACTIVE SCENE ANALYSIS STRATEGY
    3.1 Bit-rate Prediction Model of VLC Coding
    3.2 Active Forward-looking and Backward-looking Machroblock Quantizer Assignment
    3.3 Simulation Results
    3.4 Summary
    CHAPTER 4 TRANSCODING FOR COMPRESSED MPEG-2 BIT STREAM
    4.1 System Complexity of Direct Transcoding Based on MPGE-2 Decoed/Encode Pair
    4.2 Architecture of the Low complexity and Low Delay ( LCLD ) Video Tanscoding
    4.3 Simulation Results
    4.4 Summary
    CHAPTER 5 CONCLUSIONS
    REFERENCE
    Appendix A: A pseudo code for determining mbquant
    Reference
    Advisor
  • Kuo-Chin Fan(范國清)
  • Files No Any Full Text File.
    Date of Submission

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