本文選題：高性能視頻編碼 + 高性能視頻編碼可伸縮擴(kuò)展��； 參考：《中國科學(xué)技術(shù)大學(xué)》2016年博士論文

【摘要】：在視頻采集設(shè)備和顯示設(shè)備都呈日新月異發(fā)展的大背景下,處于視頻傳輸中間階段的視頻編碼技術(shù)正面臨著越來越大的壓力,面向高清視頻的最新一代視頻編碼標(biāo)準(zhǔn)高性能視頻編碼(High Efficiency Video Coding, HEVC)相比前一代編碼標(biāo)準(zhǔn)H.264/AVC在相同的主觀質(zhì)量下可以帶來一半的碼率節(jié)省,可以一定程度上緩解視頻編碼面臨的壓力,但是針對(duì)目前的需求仍然遠(yuǎn)遠(yuǎn)不夠,如何在高性能視頻編碼的基礎(chǔ)上充分利用帶寬以及進(jìn)一步提高編碼性能是目前面臨的關(guān)鍵挑戰(zhàn)。一般來說,最優(yōu)的比特分配以及精確的碼率控制是實(shí)現(xiàn)帶寬有效利用的關(guān)鍵技術(shù)。大多數(shù)的傳統(tǒng)方法都是基于量化參數(shù)來進(jìn)行碼率控制和比特分配,但是由于在HEVC中,頭信息所占的比特?cái)?shù)大幅度增加,所以基于量化參數(shù)的傳統(tǒng)方法并不適合于HEVC。最新涌現(xiàn)出來了一種基于拉格朗日常數(shù)入的碼率控制方法可以很精確的控制碼率,但是目前并沒有最優(yōu)的比特分配方法與之相匹配,而且對(duì)于高性能視頻編碼可伸縮擴(kuò)展是否適用也需要仔細(xì)研究。另外,從編碼性能的角度,在高性能視頻編碼中也僅僅使用了平移運(yùn)動(dòng)模型,所以最新的視頻編碼標(biāo)準(zhǔn)也仍然無法有效的刻畫非常復(fù)雜的運(yùn)動(dòng),而復(fù)雜的運(yùn)動(dòng)又往往是視頻中最消耗比特?cái)?shù)的部分,因此在高清視頻編碼上如何有效的引入更高階的運(yùn)動(dòng)模型以更好的刻畫復(fù)雜運(yùn)動(dòng)同樣也是非常關(guān)鍵的一個(gè)問題。大多數(shù)傳統(tǒng)的高階運(yùn)動(dòng)模型方法都無法在編碼性能以及編解碼復(fù)雜度這兩方面找到一個(gè)平衡,所以高階運(yùn)動(dòng)模型遲遲沒有進(jìn)入視頻編碼標(biāo)準(zhǔn)的范疇。本文試圖從以上兩個(gè)方面進(jìn)一步提升有限帶寬下的視頻質(zhì)量。一方面盡量在HEVC盡量實(shí)現(xiàn)最優(yōu)的比特分配和精確的碼率控制,以實(shí)現(xiàn)帶寬的更有效利用,另一方面引入高階運(yùn)動(dòng)模型實(shí)現(xiàn)視頻中復(fù)雜運(yùn)動(dòng)的更好刻畫,以進(jìn)一步提高編碼效率。論文的主要工作和創(chuàng)新如下：(1)本文針對(duì)HEVC的λ域碼率控制方法提出了一種最優(yōu)比特分配方案。首先,本文提出了一個(gè)完整的λ域R-D分析框架,除了現(xiàn)有工作中的R-λ模型用來表示R和λ之間的關(guān)系,本章提出了一個(gè)全新的D-λ模型來表示D和λ之間的關(guān)系。其次,本文基于此完整的λ域R-D分析框架和基本的R-D優(yōu)化理論提出了一種與內(nèi)容相關(guān)的最優(yōu)圖片級(jí)比特分配算法。再次,本文基于完整的λ域R-D分析框架和基本的R-D優(yōu)化理論同時(shí)提出了與內(nèi)容相關(guān)的基本單元級(jí)比特分配算法。實(shí)驗(yàn)結(jié)果表明,本文提出的為HEVC設(shè)計(jì)的最優(yōu)比特方案相比傳統(tǒng)方法可以實(shí)現(xiàn)明顯率失真性能提升。本文提出的圖片級(jí)以及基本單元級(jí)比特分配算法被國際標(biāo)準(zhǔn)化組織JCT-VC接受且集成進(jìn)入了HEVC參考軟件。(2)本文針對(duì)HEVC可伸縮擴(kuò)展提出了一種最優(yōu)的碼率控制方案。首先,本文為可伸縮視頻編碼每一層的第一幀提出了一種最優(yōu)的初始目標(biāo)比特?cái)?shù)以及初始編碼參數(shù)決定算法以實(shí)現(xiàn)更好的R-D性能。其次,本文基于根本的率失真優(yōu)化理論聯(lián)合考慮層內(nèi)和層間的依賴關(guān)系為空間和質(zhì)量可伸縮的幀間圖片設(shè)計(jì)了一種最優(yōu)比特分配算法。最后,本文提出了一個(gè)針對(duì)R-λ模型的自適應(yīng)更新算法來精確的估計(jì)碼率控制模型參數(shù)以實(shí)現(xiàn)更好的碼率控制精度。實(shí)驗(yàn)結(jié)果表明,本文提出的為HEVC可伸縮擴(kuò)展設(shè)計(jì)的碼率控制方案相比傳統(tǒng)方法可以在精確的碼率控制下顯著提高率失真性能。(3)本文針對(duì)HEVC提出了一種低復(fù)雜度仿射運(yùn)動(dòng)補(bǔ)償框架以更好的刻畫復(fù)雜運(yùn)動(dòng)。首先,本文提出了一個(gè)支持多參考幀的四參數(shù)仿射運(yùn)動(dòng)補(bǔ)償框架。其次,本文提出了兩種決定仿射運(yùn)動(dòng)矢量的方式：先進(jìn)的仿射運(yùn)動(dòng)矢量預(yù)測模式以及仿射模型融合模式：特別地,與先進(jìn)的仿射運(yùn)動(dòng)矢量預(yù)測模式相結(jié)合,提出了一種基于梯度下降的快速仿射運(yùn)動(dòng)估計(jì)算法。最后,本文提出了兩個(gè)工具以減少復(fù)雜的仿射運(yùn)動(dòng)補(bǔ)償帶來的編解碼復(fù)雜度,其中一個(gè)是一步子像素插值濾波器用于減少插值分像素需要的插值次數(shù)；另一個(gè)是基于仿射插值精度的自適應(yīng)塊大小運(yùn)動(dòng)補(bǔ)償用于盡量提高運(yùn)動(dòng)補(bǔ)償塊的大小從而減小運(yùn)動(dòng)補(bǔ)償?shù)膹?fù)雜度。實(shí)驗(yàn)結(jié)果表明,本文提出的仿射運(yùn)動(dòng)預(yù)測技術(shù)可以顯著提高包含旋轉(zhuǎn)和縮放等復(fù)雜運(yùn)動(dòng)的視頻的編碼性能。本章提出的仿射運(yùn)動(dòng)補(bǔ)償框架被集成進(jìn)入JEM參考軟件。
[Abstract]:In the background of the rapid development of video acquisition equipment and display equipment, video coding technology in the middle stage of video transmission is facing more and more pressure. The latest generation of video coding standard high performance video coding (High Efficiency Video Coding, HEVC) for HD video is compared with the previous generation coding standard H.2 64/AVC can bring half the bit rate saving under the same subjective quality, which can alleviate the pressure of video coding to a certain extent, but it is still far from enough for the current demand. It is the key challenge that how to make full use of bandwidth on the basis of high performance video coding and further improve the performance of coding. The optimal bit allocation and accurate rate control are the key technologies for efficient bandwidth utilization. Most traditional methods are based on quantization parameters for bit rate control and bit allocation, but because the number of bits occupied by the header information is greatly increased in HEVC, the traditional method based on quantized parameters is not suitable. In HEVC., a rate control method based on the daily number of Lagrangian numbers can be used to control the bit rate precisely. However, there is no optimal bit allocation method to match it at present, and it needs to be carefully studied for the application of scalable video coding for high-performance video coding. The high performance video coding only uses the translation model, so the latest video coding standard still can not effectively describe the very complex motion, and the complex motion is often the most consumed bit in the video. So it is better to introduce the higher order motion model to the high definition video coding. The portrayal of complex motion is also a very critical problem. Most traditional methods of high order motion model can not find a balance between the two aspects of coding performance and codec complexity, so the high order motion model is slow to enter the category of video coding standard. This paper attempts to further propose the above two aspects. Video quality under limited bandwidth. On the one hand, we try to achieve optimal bit allocation and accurate bit rate control in HEVC as far as possible to achieve more efficient utilization of bandwidth. On the other hand, high order motion model is introduced to achieve better depiction of complex motion in video. The main work and innovation of this paper are as follows: (1) (1 In this paper, we propose a optimal bit allocation scheme for the rate control method of HEVC's lambda domain. Firstly, this paper proposes a complete framework of R-D analysis in the lambda domain. In addition to the R- lambda model in the existing work to represent the relationship between R and lambda, this chapter presents a new D- [lambda] model to represent the relationship between D and lambda. Secondly, this paper is based on this paper. This complete lambda domain R-D analysis framework and the basic R-D optimization theory propose an optimal image level bit allocation algorithm related to content. Thirdly, based on the complete R-D domain analysis framework and the basic R-D optimization theory, this paper presents a basic unit level specific allocation algorithm related to the content. The experimental results show that this paper is proposed in this paper. The best bit scheme designed for HEVC can improve the apparent rate distortion performance compared with the traditional method. The picture level and the basic unit level bit allocation algorithm proposed in this paper are accepted by the international standardization organization JCT-VC and integrated into the HEVC reference software. (2) this paper proposes an optimal rate control for the scalable extension of HEVC. First, this paper proposes an optimal initial target bit number and initial coding parameter determination algorithm for the first frame of each layer of scalable video coding to achieve better R-D performance. Secondly, based on the fundamental rate distortion optimization theory, the spatial and quality scalable frames are combined to consider the interlayer and inter layer dependencies. An optimal bit allocation algorithm is designed in this paper. Finally, an adaptive update algorithm for R- lambda model is proposed to accurately estimate the rate control model parameters to achieve better rate control accuracy. Experimental results show that the rate control scheme for HEVC scalable expansion design proposed in this paper is compared with the traditional method. It can significantly improve the rate distortion performance under the precise rate control. (3) a low complexity affine motion compensation framework is proposed for HEVC to better describe the complex motion. First, a four parameter affine motion compensation framework supporting multiple reference frames is proposed. In this paper, two kinds of affine motion vectors are proposed in this paper. Methods: Advanced affine motion vector prediction model and affine model fusion model: in particular, combined with advanced affine motion vector prediction model, a fast affine motion estimation algorithm based on gradient descent is proposed. Finally, two tools are proposed to reduce the complexity of affine motion compensation. Code complexity, one of which is one step pixel interpolation filter to reduce interpolation times required for interpolation pixels; the other is adaptive block size motion compensation based on affine interpolation accuracy to improve the size of motion compensation blocks as much as possible to reduce the complexity of motion compensation. Experimental results show that the affine proposed in this paper is proposed. Motion prediction techniques can significantly improve the coding performance of video containing complex movements such as rotation and zoom. The affine motion compensation framework proposed in this chapter is integrated into the JEM reference software.
【學(xué)位授予單位】：中國科學(xué)技術(shù)大學(xué)
【學(xué)位級(jí)別】：博士
【學(xué)位授予年份】：2016
【分類號(hào)】：TN919.81

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本文編號(hào)：1993199