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Hardware study on the H.264/AVC video stream parser

Posted on:2009-03-06Degree:M.SType:Thesis
University:Rochester Institute of TechnologyCandidate:Brown, Michelle MFull Text:PDF
GTID:2448390002494123Subject:Computer Science
Abstract/Summary:
The video standard H.264/AVC is the latest standard jointly developed in 2003 by the ITU-T Video Coding Experts Group (VCEG) and the ISO/IEC Moving Picture Experts Group (MPEG). It is an improvement over previous standards, such as MPEG-1 and MPEG-2, as it aims to be efficient for a wide range of applications and resolutions, including high definition broadcast television and video for mobile devices. Due to the standardization of the formatted bit stream and video decoder many more applications can take advantage of the abstraction this standard provides by implementing a desired video encoder and simply adhering to the bit stream constraints. The increase in application flexibility and variable resolution support results in the need for more sophisticated decoder implementations and hardware designs become a necessity.It is desirable to consider architectures that focus on the first stage of the video decoding process, where all data and parameter information are recovered, to understand how influential the initial step is to the decoding process and how influential various targeting platforms can be. The focus of this thesis is to study the differences between targeting an original video stream parser architecture for a 65nm ASIC (Application Specific Integrated Circuit), as well as an FPGA (Field Programmable Gate Array). Previous works have concentrated on designing parts of the parser and using numerous platforms however, the comparison of a single architecture targeting different platforms could lead to further insight into the video stream parser.Overall, the ASIC implementations showed higher performance and lower area than the FPGA, with a 60% increase in performance and 6x decrease in area. The results also show the presented design to be a low power architecture, when compared to other research.
Keywords/Search Tags:Video, Parser
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