A Quality Scalable H.264/AVC Fractional Motion Estimation IP Design and Implementation
碩士 === 國立中正大學 === 資訊工程所 === 96 === This thesis presents a quality scalable fractional motion estimation (QS-FME) IP design for H.264/AVC video coding application. The proposed design is based on the algorithm of QS-FME which supports 3 modes, including full mode, reduced mode and single mode, with d...
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ndltd-TW-096CCU053920192015-10-13T11:31:38Z http://ndltd.ncl.edu.tw/handle/89804086435993035420 A Quality Scalable H.264/AVC Fractional Motion Estimation IP Design and Implementation 畫質可調式H.264/AVC分數型移動估測矽智財設計及實作 Yao Li 李曜 碩士 國立中正大學 資訊工程所 96 This thesis presents a quality scalable fractional motion estimation (QS-FME) IP design for H.264/AVC video coding application. The proposed design is based on the algorithm of QS-FME which supports 3 modes, including full mode, reduced mode and single mode, with different computational complexity. Compare to full mode, the single mode can reduce 90% computation complexity and suite for portable devices. Full mode can achieve average PSNR drop in 0.007 dB. In some cases, the full mode even has better compression quality than the algorithm in JM9.3. About the reduced mode, it can achieve real-time encoding of HD720 sequences. In order to enhance the application of portable devices, we also developed a cost-down customized QS-FME, named Light QS-FME. According to CCU 0.13um CMOS technology, the proposed design of QS-FME and Light QS-FME costs 180232 and 59394 gates as well as 27.264 Kbits/87.936 Kbits local memory for search ranges [-16, +15] and [-40, +39] respectively. The maximum operation frequencies are all 150 MHz and can achieve real-time motion estimation on QCIF, CIF, SDTV (720 x 480), and HD720 (1280 x 720) video sequences. Jiun-in Guo 郭峻因 2007 學位論文 ; thesis 97 en_US |
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碩士 === 國立中正大學 === 資訊工程所 === 96 === This thesis presents a quality scalable fractional motion estimation (QS-FME) IP design for H.264/AVC video coding application. The proposed design is based on the algorithm of QS-FME which supports 3 modes, including full mode, reduced mode and single mode, with different computational complexity. Compare to full mode, the single mode can reduce 90% computation complexity and suite for portable devices. Full mode can achieve average PSNR drop in 0.007 dB. In some cases, the full mode even has better compression quality than the algorithm in JM9.3. About the reduced mode, it can achieve real-time encoding of HD720 sequences. In order to enhance the application of portable devices, we also developed a cost-down customized QS-FME, named Light QS-FME. According to CCU 0.13um CMOS technology, the proposed design of QS-FME and Light QS-FME costs 180232 and 59394 gates as well as 27.264 Kbits/87.936 Kbits local memory for search ranges [-16, +15] and [-40, +39] respectively. The maximum operation frequencies are all 150 MHz and can achieve real-time motion estimation on QCIF, CIF, SDTV (720 x 480), and HD720 (1280 x 720) video sequences.
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Jiun-in Guo |
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Jiun-in Guo Yao Li 李曜 |
author |
Yao Li 李曜 |
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Yao Li 李曜 A Quality Scalable H.264/AVC Fractional Motion Estimation IP Design and Implementation |
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Yao Li |
title |
A Quality Scalable H.264/AVC Fractional Motion Estimation IP Design and Implementation |
title_short |
A Quality Scalable H.264/AVC Fractional Motion Estimation IP Design and Implementation |
title_full |
A Quality Scalable H.264/AVC Fractional Motion Estimation IP Design and Implementation |
title_fullStr |
A Quality Scalable H.264/AVC Fractional Motion Estimation IP Design and Implementation |
title_full_unstemmed |
A Quality Scalable H.264/AVC Fractional Motion Estimation IP Design and Implementation |
title_sort |
quality scalable h.264/avc fractional motion estimation ip design and implementation |
publishDate |
2007 |
url |
http://ndltd.ncl.edu.tw/handle/89804086435993035420 |
work_keys_str_mv |
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