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Efficient Software and Hardware Implementations of the H.264 Entropy Encoders

Hoffman, Marc
http://rave.ohiolink.edu/etdc/view?acc_num=dayton1322668418

Abstract Details

2011, Master of Science (M.S.), University of Dayton, Engineering.
Part 10 of MPEG-4 describes the Advanced Video Coding (AVC) method widely known as H.264. H.264 is the product of a collaborative effort known as the Joint Video Team(JVT). The final draft of the standard was completed in May of 2003, and since then H.264 has become one of the most commonly used formats for compression of high definition video [9]. The entire H.264/AVC encoder is inherently a sequential process, which typically lends itself to a software solution. Within the H.264 Standard, two entropy decoders are discussed. These two lossless encoding methods are known as Context Adaptive Variable Length Coding (CAVLC) and Context Adaptive Binary Arithmetic Coding (CABAC). CAVLC offers the most basic solution, while CABAC provides increased compression rates at a cost in algorithm complexity. For fast encoding of H.264 bit streams, three solutions are presented in this thesis. Two implementations of CAVLC are discussed, including a software and a hardware solution. Finally, a simple implementation of CABAC is proposed.
Eric Balster, PhD (Advisor)
Frank Scarpino, PhD (Committee Member)
Vijayan Asari, PhD (Committee Member)
69 p.
Computer Engineering; Electrical Engineering; Information Science
H.264; video compression; image processing

Recommended Citations

Citations

  • Hoffman, M. (2011). Efficient Software and Hardware Implementations of the H.264 Entropy Encoders [Master's thesis, University of Dayton]. OhioLINK Electronic Theses and Dissertations Center. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1322668418

    APA Style (7th edition)

  • Hoffman, Marc. Efficient Software and Hardware Implementations of the H.264 Entropy Encoders. 2011. University of Dayton, Master's thesis. OhioLINK Electronic Theses and Dissertations Center, http://rave.ohiolink.edu/etdc/view?acc_num=dayton1322668418.

    MLA Style (8th edition)

  • Hoffman, Marc. "Efficient Software and Hardware Implementations of the H.264 Entropy Encoders." Master's thesis, University of Dayton, 2011. http://rave.ohiolink.edu/etdc/view?acc_num=dayton1322668418

    Chicago Manual of Style (17th edition)

dayton1322668418
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© 2011, all rights reserved.
This open access ETD is published by University of Dayton and OhioLINK.