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Based on DM642 Video Encode Algorithm Research

Author: WuPeng
Tutor: LiuQing
School: Wuhan University of Technology
Course: Control Theory and Control Engineering
Keywords: DM642 H.263 Video Coding Transplant Optimization
CLC: TN919.81
Type: Master's thesis
Year: 2006
Downloads: 238
Quote: 2
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Abstract


Currently, H.263 video compression standard by virtue of its high compression ratio and image quality, has been widely accepted as a new standard. H.263 for the superior performance is its complexity exponentially increase the cost of exchange, and therefore the general processing platform can not meet the the H.263 high computational complexity needs. DSP chips for its the super processing speed and low resource consumption, has excellent performance in many areas. TI's C64 series chip production has a strong parallel processing capability and signal processing functions, is the ideal platform to achieve H.263 codec. Fully studied the the H.263 standard reference code TMNcodec32 and DSP chip hardware structure characteristics on the basis of the specific process of implementation and optimization Wintech DM642 H.263 coding algorithm, and optimized results . Firstly a more detailed analysis of the H.263 video compression standard, the H.263 standard inter prediction and entropy coding, compression algorithm, some new technical features to do a more detailed discussion. Then, we combine the DM642 embedded systems hardware features from the to adjust encoder software framework process, optimizing the use of the memory system, and discuss aspects of the program code-level optimization, optimization, and in real time based on the DM642 H.263 software encoder, has been able to achieve real-time encoding of QCIF video. In this process, summarize DM642-based video compression coding software development methods and techniques, for future reference TI DM642 platform-based software development. The algorithm optimization is the focus of the H.263 video coding, what combination of the C64x processor features improve decoding speed is also the focus of this study. H.263 the reference model TMNcodec32 in the writing process, too much emphasis on the readability of the program, ignoring the real-time requirements as the codec algorithm, which is part of the module is extremely inefficient. This article to learn some common programming embedded systems and optimization techniques, the use of the adjustment program structure and algorithm implementations, adjust the storage space allocation, inline assembly embedded cycle internal water and other methods of TMNcodec32 overall structure and bottleneck function do optimization, and achieved better test results. By optimizing the comparison of before and after the test results, the proposed method can be seen to improve the overall performance of the code, largely improved picture quality and encoding speed and better optimization results.

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CLC: > Industrial Technology > Radio electronics, telecommunications technology > Communicate > Image communication, multimedia communication > Image coding
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