English  |  正體中文  |  简体中文  |  全文筆數/總筆數 : 78852/78852 (100%)
造訪人次 : 38468581      線上人數 : 216
RC Version 7.0 © Powered By DSPACE, MIT. Enhanced by NTU 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://ir.lib.ncu.edu.tw/handle/987654321/77412


    題名: 混合型錯誤隱藏法在高效率視頻編碼之研究;Hybrid Error Concealment for High Efficiency Video Coding (HEVC)
    作者: 古家明;Kujabi, Lamin L.
    貢獻者: 通訊工程學系
    關鍵詞: 错误隐藏(EC);HEVC;混合算法中;首先用性插(SMFI);空间错 误隐藏;时间错误隐藏;Error concealment (EC);HEVC;Hybrid Error Concealment;Selective Motion Field Interpolation(SMFI);Spatial Error concealment;Temporal Error Concealment
    日期: 2018-07-30
    上傳時間: 2018-08-31 14:37:22 (UTC+8)
    出版者: 國立中央大學
    摘要: 當前的新視頻設備和應用需要有效的壓縮方法。在過去的幾年中,通過不同類型的網絡將視頻流式傳輸到不同的設備已經大大增加,設備範圍從電視到智能電話以及從有線網絡到無線網絡的網絡都活用了Long Term Evolution Advanced (LTE Advanced)。無線電視和娛樂產業的快速發展增加了對高清晰度,高幀率視頻應用的需求。由於H.264 / AVC主流壓縮標準存在缺陷,在2013年4月,德國德累斯頓舉行的JCT-VT會議定義了新一代視頻編碼標準 - 高效視頻編碼(HEVC)。 HEVC旨在將視頻的壓縮效率提高一倍,這意味著在相同的重建質量下,比特率將降低50%。然而,當通過IP網絡或無線移動網絡傳輸視頻數據時,總是會發生隨機錯誤和視頻數據損失。事實上HEVC仍然採用與H.264中相同的幀間和幀內預測機制,高壓縮視頻數據易於出現通道錯誤。有時即使很少的錯誤也可能對視頻數據的重建質量產生嚴重影響。本文仔細分析了HEVC的特點,並進一步研究了後解碼過程中的錯誤隱藏技術。然後提出了考慮HEVC特徵的錯誤隱藏算法。針對容易出錯的視頻傳輸信道,提出了一種利用線性插值的擴展混合錯誤隱藏算法。在所提出的混合算法中,首先採用選擇性運動場內插(SMFI)來隱藏錯誤的LCU。然後使用空間和時間邊界匹配的誤差來檢查SMFI是否正確地隱藏了錯誤的宏塊。如果不正確地重建時間恢復的宏塊,則使用線性插值的空間錯誤隱藏來隱藏損壞的宏塊而不是SMFI。所提出的混合演算法在空間和時間錯誤隱藏上採用線性插值法。;Abstract
    The current and new video devices and applications require
    an efficient compression methods. Streaming of video
    to different devices over different types of networks has
    substantially increased during the past few years, with
    devices ranging from connected televisions to smart-phones
    and networks ranging from wired networks to wireless
    networks making use of Long Term Evolution Advanced
    (LTE Advanced). The rapid development of radio television
    and video entertainment industries has increase the demand
    for high definition, high frame rate video applications.
    As the H.264/AVC mainstream compression standard has
    its deficiency, In April 2013, JCT-VT meeting held in Dresden,
    Germany, defined the new generation video coding standard
    called High Efficiency Video Coding (HEVC). HEVC is
    aimed to double the compression efficiency of videos, which
    means that the bitrate will be reduced by 50 percent under
    the same reconstruction quality. However, when video
    data are transmitted through IP networks or wireless mobile
    networks, random error and loss of video data always
    occur. The fact that HEVC still adopts the same inter
    and intra frame prediction mechanism as in H.264, high
    compressed video data are prone to channel errors. Sometimes
    even few errors may have serious impact on the reconstruction
    quality of video data. This paper closely analyses the
    characters of HEVC, and further studies error concealment
    technology in the post-decoding process. Then it proposes
    error concealment algorithms which take the characters
    of HEVC into account. An extended hybrid error concealment
    algorithm using linear interpolation for error-prone video
    transmission channel is been suggested. In the proposed
    hybrid algorithm, the selective motion field interpolation (SMFI) is first employed to conceal the erroneous LCU.
    The spatial and temporal boundary-matched errors are
    then used to check whether the SMFI conceals the erroneous
    macroblock properly. If the temporally recovered macroblock
    is reconstructed incorrectly, the spatial error concealment
    using linear interpolation is employed to conceal the damaged
    macroblock instead of SMFI. The proposed hybrid algorithm
    employs the linear interpolation on both spatial and temporal
    error concealment.
    顯示於類別:[通訊工程研究所] 博碩士論文

    文件中的檔案:

    檔案 描述 大小格式瀏覽次數
    index.html0KbHTML272檢視/開啟


    在NCUIR中所有的資料項目都受到原著作權保護.

    社群 sharing

    ::: Copyright National Central University. | 國立中央大學圖書館版權所有 | 收藏本站 | 設為首頁 | 最佳瀏覽畫面: 1024*768 | 建站日期:8-24-2009 :::
    DSpace Software Copyright © 2002-2004  MIT &  Hewlett-Packard  /   Enhanced by   NTU Library IR team Copyright ©   - 隱私權政策聲明