A Fast Intra Prediction Based on Haar Transform in H.264/AVC | |
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學年 | 98 |
學期 | 1 |
發表日期 | 2009-12-03 |
作品名稱 | A Fast Intra Prediction Based on Haar Transform in H.264/AVC |
作品名稱(其他語言) | |
著者 | Yen, Shwu-Huey; Lin, meng-ju; Hwan, shin-jia; Li, tai-kuang |
作品所屬單位 | 淡江大學資訊工程學系 |
出版者 | Taipei : Institute of electrical and electronics engineers (IEEE) |
會議名稱 | JCPC 2009 Joint Conferences on Pervasive Computing |
會議地點 | Taipei, Taiwan |
摘要 | H.264/AVC is one of the state of the art in video compressing standards. It has advantages of low bit-rate and high image quality. However, the omplexity of H.264/AVC encoder limits applications in the real time video communication. In this study, a fast intra prediction with Haar transform algorithm (FIPHTA) is proposed to simplify the complexity of luma intra prediction. For each luma macroblock (MB), a Haar transform is first executed. By observing LL coefficients, this MB will be classified as 16-MB, I4-MB, or both. An I16-MB indicates that this MB is smooth and only Intra 16Ã16 (I16) prediction modes are to be considered. An I4-MB indicates that this MB is textured and only Intra 4Ã4 (I4) prediction modes are to be considered. And the rest of MBs (both) have to consider both prediction modes as in the standard H.264/AVC. Next, to choose an I16 prediction mode for a MB, the vertical and horizontal energies of the LL coefficients are calculated to reduce candidate modes. Similarly, the pixel-based vertical and horizontal energies are calculated for a 4Ã4 block to reduce I4 candidate modes. The simulation showed that the proposed algorithm can maintain the similar mode selection results comparing to the full search algorithm of H.264 but with a remarkable computation deduction. |
關鍵字 | H.264/AVC;Haar transform;Intra predictio |
語言 | en |
收錄於 | |
會議性質 | 國際 |
校內研討會地點 | 淡水校園 |
研討會時間 | 20091203~20091205 |
通訊作者 | |
國別 | |
公開徵稿 | Y |
出版型式 | |
出處 | Proceedings of the 2009 joint conferences on pervasive computing, pp.161-166 |
相關連結 |
機構典藏連結 ( http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/73167 ) |