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(biāo)圖像同時(shí)在時(shí)間域和空間域進(jìn)行預(yù)測. 使用兩級神經(jīng)分類器來快速確定預(yù)測模式，第1 級分類產(chǎn)生對每一個(gè)大塊的不同分割塊，第2 級分類在運(yùn)動(dòng)估計(jì)或視差估計(jì)中選出最合適的預(yù)測源，并設(shè)計(jì)了改進(jìn)的SAD(sum-of-absolute-differences)算法用以計(jì)算視差. 實(shí)驗(yàn)表明，該文提出的方法能節(jié)省80%的時(shí)間，引起的質(zhì)量下降可以忽略，而占用的編碼字節(jié)數(shù)僅多出7%左右.
關(guān)鍵詞: 立體視頻編碼；神經(jīng)分類器；視差估計(jì)；音視頻編碼標(biāo)準(zhǔn)

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