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

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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]
Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)
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  Data: 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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  Data: <i>Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract.</i> (Copyright applies to all Abstracts.)
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