【摘要】：為了降低新一代高效視頻編碼(High Efficiency Video Coding,HEVC)標(biāo)準(zhǔn)的編碼復(fù)雜度,提出了一種基于四叉樹結(jié)構(gòu)類型分析和早期編碼單元(Coding Unit,CU)裁剪的HEVC快速編碼新算法。首先,通過分析已編碼的最大編碼單元(Largest CU,LCU)四叉樹結(jié)構(gòu)類型,確定其深度遍歷區(qū)間(Depth Range,DR)類型。然后,利用相鄰已編碼的LCU以及前向參考幀和后向參考幀中坐標(biāo)位置相同的LCU的DR類型來預(yù)測當(dāng)前LCU的DR類型,并根據(jù)預(yù)測得到的DR類型對當(dāng)前LCU設(shè)定CU深度遍歷區(qū)間。最后,采用貝葉斯決策原理獲取閾值,并利用該閾值在CU分割過程進(jìn)行早期CU裁剪。實(shí)驗(yàn)結(jié)果表明:相對于原始HEVC編碼結(jié)構(gòu),本文算法在隨機(jī)訪問模式下編碼時間平均減少41.55%,BDBR(Bjontegaard Delta Bit Rate)只增加約1.94%,BDPSNR(Bjontegaard Delta Peak Signal-to-noise Rate)只降低了0.06dB;與Shen方案相比,該算法可以降低12%左右的計(jì)算復(fù)雜度,BDBR只增加約1.09%,BDPSNR只降低了0.03dB。
[Abstract]:In order to reduce the coding complexity of the new generation high efficient video coding (High Efficiency Video Coding,HEVC) standard, a new HEVC fast coding algorithm based on quadtree structure type analysis and early coding unit (Coding Unit,CU) clipping is proposed. Firstly, the type of depth traversal interval (Depth Range,DR) is determined by analyzing the quad-tree structure type of encoded maximum coding unit (Largest CU,LCU). Then, the DR type of the current LCU is predicted by using the DR type of the adjacent encoded DR and the DR type of the LCU with the same coordinate position in the forward reference frame and the backward reference frame, and the CU depth traversal interval is set for the current LCU according to the predicted DR type. Finally, the Bayesian decision principle is used to obtain the threshold, and the threshold is used to cut the early CU in the CU segmentation process. The experimental results show that compared with the original HEVC coding structure, the average coding time of the proposed algorithm in random access mode is reduced by 41.55%, and the BDBR (Bjontegaard Delta Bit Rate) is only increased by about 1.94%. BDPSNR (Bjontegaard Delta Peak Signal-to-noise Rate decreased only 0.06dB; Compared with the Shen scheme, the algorithm can reduce the computational complexity by about 12%, increase the BDBR by only about 1.09%, and decrease the BDP SNR by only 0.03dB.
【作者單位】： 寧波大學(xué)信息科學(xué)與工程學(xué)院;南京大學(xué)計(jì)算機(jī)軟件新技術(shù)國家重點(diǎn)實(shí)驗(yàn)室;
【基金】：國家自然科學(xué)基金資助項(xiàng)目(No.61171163,No.61271270,No.61271021,No.61311140262,No.U1301257)
【分類號】：TN919.81

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本文編號：2447056