Region-based bit allocation and rate control for depth video in HEVC.

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Bibliographic Details
Title:	Region-based bit allocation and rate control for depth video in HEVC.
Authors:	Lei, Jianjun¹, Li, Zhenzhen¹, Zhu, Tao¹, He, Xiaoxu¹ hexiaoxu828@163.com, You, Lei¹, Hou, Chunping¹
Source:	Multimedia Tools & Applications. Feb2017, Vol. 76 Issue 3, p4179-4195. 17p.
Subjects:	Bit allocation analysis, Bit rate, Video coding, Rate distortion theory, Signal quantization
Abstract:	In this paper, we present a novel rate control method with optimized region-based bit allocation for depth video coding. First, a synthetic view distortion oriented segmentation method is proposed to divide depth video into different regions, including texture areas and smooth areas. Then, the expanded exponential distortion-rate (D-R) models and power quantization parameter-rate (QP-R) models are investigated to simulate rate-distortion (R-D) characteristics of different regions. Finally, an optimal bit allocation scheme is developed to adaptively allocate target bit with the division. Experimental results on various video sequences demonstrate that the proposed algorithm achieves excellent R-D efficiency and bit rate accuracy compared with benchmark algorithms. [ABSTRACT FROM AUTHOR]
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Database:	Engineering Source

Description
Abstract:	In this paper, we present a novel rate control method with optimized region-based bit allocation for depth video coding. First, a synthetic view distortion oriented segmentation method is proposed to divide depth video into different regions, including texture areas and smooth areas. Then, the expanded exponential distortion-rate (D-R) models and power quantization parameter-rate (QP-R) models are investigated to simulate rate-distortion (R-D) characteristics of different regions. Finally, an optimal bit allocation scheme is developed to adaptively allocate target bit with the division. Experimental results on various video sequences demonstrate that the proposed algorithm achieves excellent R-D efficiency and bit rate accuracy compared with benchmark algorithms. [ABSTRACT FROM AUTHOR]
ISSN:	13807501
DOI:	10.1007/s11042-016-3336-z