View synthesis distortion model optimization for bit allocation in three-dimensional video coding
Reads0
Chats0
TLDR
A novel optimized view synthesis distortion model is proposed for bit allocation in three-dimensional video coding and can obtain higher view synthesis rate-distortion performance than a fixed 5:1 method.Abstract:
In this letter, a novel optimized view synthesis distortion model is proposed for bit allocation in three-dimensional video coding. The proposed model separates the view synthesis distortion into two independent terms, and the two terms are modeled respectively by quadratic distortion models. Finally, the optimal quantization parameters for texture and depth can be determined by minimizing the view synthesis distortion under the total bitrate constraint. Experimental results show that compared with a fixed 5:1 method, the proposed method can obtain higher view synthesis rate-distortion performance.read more
Citations
More filters
Journal ArticleDOI
Joint Bit Allocation and Rate Control for Coding Multi-View Video Plus Depth Based 3D Video
TL;DR: A view synthesis distortion model is derived to characterize the effect of coding distortion of texture video and depth maps on the synthesized virtual views, and the optimal bitrate ratio between texture and depth is established adaptively by solving the associated optimization problem.
Journal ArticleDOI
SSIM-based joint-bit allocation for 3D video coding
TL;DR: Structural similarity (SSIM)-based joint bit allocation scheme to enhance visual quality of 3D video and the Lagrange multiplier method is used to solve the bit allocation problem.
Journal ArticleDOI
Just noticeable disparity error-based depth coding for three-dimensional video
Lei Luo,Xiang Tian,Yaowu Chen +2 more
TL;DR: A just noticeable disparity error (JNDE) measurement to describe the maximum tolerated error of depth maps is proposed and can be incorporated in any standardized video coding algorithm based on prediction and transform.
Journal ArticleDOI
Joint Bit Allocation and Rate Control for Texture and Depth Video Coding
TL;DR: A joint bit allocation and rate control method is proposed for 3D video coding using a generic exponential distortion model derived for joint video coding and achieves excellent rate-distortion performance.
Book ChapterDOI
Joint Bit Allocation for 3D Video with Nonlinear Depth Distortion—An SSIM-Based Approach
TL;DR: In this article, the authors used the nonlinear relationship of depth distortion with synthesis distortion in computing rate distortion cost resulting in better mode decision, using the same depth map RDO in bit allocation algorithm, more accurate results are obtained when compared to the linear relation of depth distortions with synthesis distortions.
References
More filters
Journal ArticleDOI
Scalable rate control for MPEG-4 video
TL;DR: A sliding-window method for data selection is used to mitigate the impact of a scene change and the data points for updating a model are adaptively selected such that the statistical behavior is improved.
Journal ArticleDOI
The effects of multiview depth video compression on multiview rendering
TL;DR: The results show that-although its rate-distortion (R-D) performance is worse-platelet-based depth coding outperforms H.264, due to improved sharp edge preservation.
Journal ArticleDOI
Overview of free viewpoint television
TL;DR: A real-time FTV is constructed including the complete chain from capturing to display, and a new algorithm was developed to generate free viewpoint images to create ray-based image engineering through the development of FTV.
Journal ArticleDOI
Interactive 3-DTV-Concepts and Key Technologies
C. Fehn,R.S. Pastoor +1 more
TL;DR: An experimental 3-DTV system is described that is based on the joint distribution of monoscopic color video and associated per-pixel depth information, and one or more “virtual” views of a real-world scene can be synthesized in real-time at the receiver side by means of so-called depth-image-based rendering (DIBR) techniques.
Journal ArticleDOI
Three-Dimensional Video Postproduction and Processing
Aljosa Smolic,Peter Kauff,Sebastian Knorr,Alexander Hornung,M Kunter,Marcus Müller,Manuel Lang +6 more
TL;DR: This paper gives an overview of the state-of-the-art in 3-D video postproduction and processing as well as an outlook to remaining challenges and opportunities.