【摘要】：針對新一代視頻編碼標準離散視編碼(HEVC)幀間預(yù)測編碼計算復雜度過高的問題,提出一種利用變換量化后零塊分布特征進行快速幀間模式篩選的低復雜度算法。首先統(tǒng)計SKIP和幀間2 N×2 N模式下零系數(shù)與非零系數(shù)的區(qū)域分布特征,判斷其運動特征和運動估計匹配效果,用以分析全零塊下SKIP模式的分布;同時在非全零塊下結(jié)合殘差塊的SATD代價分類篩選PU模式分布,從而優(yōu)先選擇符合零塊分布特征的PU模式,以達到快速篩選幀間模式,降低計算復雜度的效果。實驗結(jié)果表明,在低延遲和隨機訪問配置條件下,本文提出的算法在保證編碼性能的情況下,相比原有HM快速算法,編碼時間平均分別可減少50.3和49.3%,BDBR僅降低0.03%,有效地降低了編碼復雜度。
[Abstract]:Aiming at the high computational complexity of the new generation of discrete visual coding (HEVC) inter-frame predictive coding, a low complexity algorithm for fast inter-frame mode filtering using the transformed quantized zero-block distribution feature is proposed. Firstly, the regional distribution characteristics of zero coefficient and non-zero coefficient under SKIP and inter-frame 2N 脳 2 N mode are statistically analyzed, and the motion characteristics and motion estimation matching effect are judged to analyze the distribution of SKIP mode under zero block. At the same time, the PU pattern distribution is selected by combining the SATD cost classification of the residual block with the non-zero block, and the PU mode which accords with the zero-block distribution feature is selected first, so that the inter-frame mode can be filtered quickly and the computational complexity can be reduced. The experimental results show that under the condition of low delay and random access configuration, the coding time of the proposed algorithm can be reduced by 50.3 and 49.3, respectively, compared with the original HM fast algorithm. BDBR only reduces the encoding complexity by 0.03%.
【作者單位】： 上海大學通信與信息工程學院;上海市消防總隊浦東支隊;
【基金】：國家自然科學基金(61271212) “863”計劃(2015AA015903) 上海市自然基金項目(14ZR1415200) 上海市“科技創(chuàng)新行動計劃”(14511105602)資助項目
【分類號】：TN919.81

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