English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 58317/91854 (63%)
造訪人次 : 14018194      線上人數 : 163
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU Library & TKU Library IR team.
搜尋範圍 查詢小技巧:
  • 您可在西文檢索詞彙前後加上"雙引號",以獲取較精準的檢索結果
  • 若欲以作者姓名搜尋,建議至進階搜尋限定作者欄位,可獲得較完整資料
  • 進階搜尋
    請使用永久網址來引用或連結此文件: http://tkuir.lib.tku.edu.tw:8080/dspace/handle/987654321/50554

    題名: Fast intra prediction mode decision algorithm for 4×4 Blocks in H.264/ MPEG-4 AVC
    作者: 江正雄;Chiang, Jen-shiun;Hsia, Chilh-hsien;Teng, Tsai-yuan
    貢獻者: 淡江大學電機工程學系
    關鍵詞: H.264/MPEG-4 AVC;Intra Prediction;Fast Intra Prediction Mode Decision Algorithm FIPMDA
    日期: 2008-03-01
    上傳時間: 2010-08-09 19:46:31 (UTC+8)
    出版者: 淡江大學
    摘要: The H.264/MPEG-4 (Advanced Video Coding) AVC video coding includes a multidirectional spatial prediction method to reduce spatial redundancy by using neighboring samples as a prediction for the samples in a block of data to be encoded. The main goal of the intra prediction is to achieve better compression efficiency. For finding the optimal prediction modes, H.264/MPEG-4 AVC adopts the full search algorithm in the standard. The high computation complexity of the full search algorithm makes the encoding of H.264/MPEG-4 AVC to be difficult to meet real time applications. In this work, we proposed a Fast Intra Prediction Mode Decision Algorithm (FIPMDA) for 4 4 intra blocks, which is based on the partially sampling prediction and symmetry of the adjacent angle modes, to reduce the computational time and low complexity of the 4 4 block intra-prediction. Experimental results show that the proposed method can reduce the encoder time of the intra prediction by more than 60% while maintaining similar video bit rate and quality.
    關聯: 淡江理工學刊 = Tamkang Journal of Science and Engineering 11(1), pp.49-54
    DOI: 10.6180/jase.2008.11.1.07
    顯示於類別:[電機工程學系暨研究所] 期刊論文


    檔案 大小格式瀏覽次數
    1560-6686_11(1)p49-54.pdf12883KbAdobe PDF240檢視/開啟



    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library & TKU Library IR teams. Copyright ©   - 回饋