本文選題：HEVC + 幀內(nèi)編碼��； 參考：《小型微型計算機系統(tǒng)》2017年12期

【摘要】：新一代視頻編碼標(biāo)準(zhǔn)HEVC雖然顯著提升了視頻壓縮效率,但也大幅增加了視頻編碼的計算復(fù)雜度,其中模式?jīng)Q策部分消耗的編碼時間最多.為了降低HEVC編碼的計算復(fù)雜度,提出一種基于紋理劃分特征和方向特征的低復(fù)雜度幀內(nèi)編碼模式?jīng)Q策算法.首先根據(jù)編碼樹單元(CTU)的紋理劃分特征與最佳編碼單元(CU)劃分的相關(guān)性,通過分析CTU中所有16×16CU的紋理劃分特征,自底向上計算不同尺寸CU的紋理劃分標(biāo)識;然后利用這些標(biāo)識預(yù)測當(dāng)前CTU的深度范圍,以及判定是否提前終止CU劃分;接著根據(jù)預(yù)測單元(PU)紋理方向特征與最佳幀內(nèi)預(yù)測模式的相關(guān)性,對候選幀內(nèi)預(yù)測模式進行兩級選擇,以減少進行哈達瑪優(yōu)化的預(yù)測模式個數(shù);最后利用哈達瑪代價減少進行率失真優(yōu)化的預(yù)測模式個數(shù).實驗結(jié)果表明,本文算法與HEVC參考模型相比,能夠平均降低49.72%的編碼時間,而碼率只增加0.59%、峰值信噪比僅下降0.04d B,保持了良好的編碼率失真性能;與現(xiàn)有的兩種模式?jīng)Q策快速算法相比,本文算法進一步降低了約8%和9%的編碼時間,并具有相近的編碼率失真性能.
[Abstract]:Although the new generation video coding standard HEVC has significantly improved the efficiency of video compression, it also greatly increases the computational complexity of video coding, in which the mode decision part consumes the most coding time.In order to reduce the computational complexity of HEVC coding, a low complexity intra coding mode decision algorithm based on texture partitioning feature and direction feature is proposed.Firstly, according to the correlation between the texture partition feature of the coding tree unit (CTU) and the best coding unit (CU), the texture partition identification of CU of different sizes is calculated from bottom up by analyzing all the texture partition features of 16 脳 16CU in CTU.Then we use these markers to predict the depth range of the current CTU and determine whether to terminate the CU partition in advance; then according to the correlation between the texture direction features of the prediction unit and the best intra prediction mode,In order to reduce the number of prediction modes for Hadamard optimization, the number of prediction modes for rate-distortion optimization is reduced at the cost of Hadamard.Experimental results show that compared with the HEVC reference model, the proposed algorithm can reduce the coding time by 49.72% on average, while the bit rate increases only by 0.59, and the peak SNR decreases only by 0.04 dB, thus maintaining a good coding rate-distortion performance.Compared with the existing two fast algorithms of pattern decision, the proposed algorithm further reduces the coding time by about 8% and 9%, and has similar coding rate-distortion performance.
【作者單位】： 浙江工業(yè)大學(xué)信息工程學(xué)院;杭州電子科技大學(xué)計算機學(xué)院;浙江大學(xué)生物醫(yī)學(xué)工程教育部重點實驗室;
【基金】：國家自然科學(xué)基金項目(61401398,61471150)資助 浙江省自然科學(xué)基金項目(LY17F010013)資助
【分類號】：TN919.81
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本文編號：1761940