A performance improvement of H.264 Fast Inter prediction Mode Select ---Implemented on TI DM6437 DSP

碩士 === 明志科技大學 === 電子工程研究所 === 99 === The compression of H.264 that was showcased in May of 2003 by the Joint Video Team (JVT) is one of the most important technologies of video encoding. Released along with it, was the source code JM. Although JM is of high quality and efficiency, the executing spee...

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Bibliographic Details
Main Authors: Chun-Chieh Yu, 尤俊傑
Other Authors: Yen-Jen Chen
Format: Others
Language:zh-TW
Published: 2011
Online Access:http://ndltd.ncl.edu.tw/handle/38629980756022215553
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Summary:碩士 === 明志科技大學 === 電子工程研究所 === 99 === The compression of H.264 that was showcased in May of 2003 by the Joint Video Team (JVT) is one of the most important technologies of video encoding. Released along with it, was the source code JM. Although JM is of high quality and efficiency, the executing speed of the algorithm is non-optimal. With the self-made Constrained Baseline Profile H.264 as a starting point, the method of choosing Inter-Prediction mode has been further improved. The choosing method was decided using CBP (Code Block Patten) to calculate the non-zero values. In this research using the original H.264 of self-study on platform x86 improves the new algorithm, getting excellent performance that can increase the number of frames per second from five to thirteen. Also, the TI DSP was used on the DM6437 platform to remove the new algorithm and develop the real-time camera system. Presently, the new algorithm on DSP can compress thirteen QCIF frames per second, surpassing the old algorithm’s three frames per second. However, the algorithm doesn’t have good performance on DSP because the algorithm structure is implemented on x86. Even if the algorithm improves the Inter-Prediction Mode selection, it can’t compress real time frame numbers on DSP. In the future, the target is to rewrite part of the algorithm or change to a new search method that will equalize performance on DSP architecture. Keywords : H.264、Inter-Prediction、PSNR、CBP、DM6437