提出一種基于AVS(audio video coding standard)的快速立體視頻編碼方法，對左路參考圖像使用AVS編碼器編碼，對右路目標圖像同時在時間域和空間域進行預測. 使用兩級神經分類器來快速確定預測模式，第1 級分類產生對每一個大塊的不同分割塊，第2 級分類在運動估計或視差估計中選出最合適的預測源，并設計了改進的SAD(sum-of-absolute-differences)算法用以計算視差. 實驗表明，該文提出的方法能節省80%的時間，引起的質量下降可以忽略，而占用的編碼字節數僅多出7%左右.
關鍵詞: 立體視頻編碼；神經分類器；視差估計；音視頻編碼標準

Abstract: A new method for fast stereo video encoding based on AVS is presented. In the system, the left-view sequence is encoded by an AVS encoder. For the right-view sequence, combined predictions from the temporal or disparity domains are exploited, with a hierarchical two-stage neural classifier for fast mode decision. The first stage produces different candidates for variable block partitions of each macro-block (MB). The second stage chooses the most suitable prediction sources between forward motion and disparity frames. An improved sum-of-absolutedifferences (SAD) algorithm is proposed in disparity estimation. Experimental results show that the proposed method can achieve time savings up to 80% with negligible quality degradation, and bit-rate increase of only 7%.
Keywords: stereo video coding, neural classifier, disparity estimation, AVS