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A content-based rate control algorithm for screen content video coding

机译:基于内容的屏幕内容视频编码速率控制算法

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The popularity of 3D screen content videos like 3D animations calls for better coding performance of screen content videos. The exiting R-lambda rate control model is designed to enable the coding performance of conventional nature videos, which can not accurately describe the Rate-Distortion (R-D) relationships of the screen content videos, especially for videos containing limited colors and sharper edges. This paper proposes a new rate control (RC) scheme which takes the divergent characteristics of text contents, screen images and nature images in screen content videos into consideration. In particular, the content-based rate control algorithm is developed at Coding Tree Unit (CTU) level, where CTUs are divided into three categories including Text-CTUs (T-CTUs), Screen Image-CTUs (SI-CTUs) and Nature Image-CTUs (NI-CTUs). Three R-lambda models reflecting different R-D relationships of different CTUs are established, and the model parameters are updated on the basis of their own models. Furthermore, in view of the fact that continuity and mutability simultaneously exist in screen content videos, two bit allocation schemes for regions containing only one content are determined in this paper. Experimental results show that the proposed RC scheme achieves 0.749 dB BDPSNR increase under the Low Delay configuration and 0.637 dB BDPSNR increase under the Random Access configuration on average, compared to the default R-lambda model in HEVC Screen Content Coding extension (HEVC-SCC) reference software. (C) 2019 Elsevier Inc. All rights reserved.
机译:3D屏幕内容视频等普及等3D动画呼叫屏幕内容视频的更好编码性能。退出的R-Lambda速率控制模型旨在实现传统性质视频的编码性能,这不能准确地描述屏幕内容视频的速率 - 失真(R-D)关系,尤其是包含有限颜色和更清晰的边缘的视频。本文提出了一种新的速率控制(RC)方案,其考虑了屏幕内容视频中的文本内容,屏幕图像和自然图像的不同特征。特别地,基于内容的速率控制算法在编码树单元(CTU)级别,其中CTU分为三类包括文本CTU(T-CTU),屏幕图像CTU(SI-CTU)和自然图像-ctus(ni-ctus)。建立了三种R-Lambda模型,反映了不同CTU的不同R-D关系,并且在自己的模型的基础上更新了模型参数。此外,鉴于在屏幕内容视频中同时存在连续性和变形性,本文确定仅包含一个内容的区域的两位分配方案。实验结果表明,拟议的RC方案在低延迟配置下实现0.749dB BDPSNR增加,平均随机接入配置下的0.637dB BDPSNR增加,与HEVC屏幕内容编码扩展(HEVC-SCC)中的默认R-Lambda模型相比参考软件。 (c)2019 Elsevier Inc.保留所有权利。

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