Reduced resolution depth coding for stereoscopic 3D video

Karim, Hezrul Abdul; Shah, Nina; Arif, Nor Mohd; Sali, Aduwati; Worrall, Stewart

doi:10.1109/tce.2010.5606316

Cited by 19 publications

(6 citation statements)

References 6 publications

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“…The disparity map provides spatial cues to accurately produce the depth information for different objects from different views. Thus, high-quality disparity maps are very important to improve the accuracy of multi-view video coding, multi-view video-plus-depth representation, and layered depth video [4][5][6]. How to improve the efficiency and accuracy of the disparity map becomes a key research issue in computer vision and multimedia processing.…”

Section: Introductionmentioning

confidence: 99%

Boundary-preserving stereo matching with certain region detection and adaptive disparity adjustment

Jung

Chen

Cai

et al. 2015

Journal of Visual Communication and Image Representation

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Section: Introductionmentioning

confidence: 99%

Boundary-preserving stereo matching with certain region detection and adaptive disparity adjustment

Jung

Chen

Cai

et al. 2015

Journal of Visual Communication and Image Representation

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“…These characteristics are exploited by many researchers to achieve higher efficiency depth coding, see e.g. [6], [7], [8], [9], [10]. To take advantage of depth map smoothness, a straightforward method is to compress the whole depth map using a reduced resolution prior to coding.…”

Section: Introductionmentioning

confidence: 99%

Content adaptive depth map resampling scheme in multiview video plus depth

Homayouni

Aminlou

Aflaki

et al. 2014

2014 IEEE International Symposium on Circuits and Systems (ISCAS)

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In this paper, we propose a content-adaptive preprocessing for downsampling depth map for 3D multiview plus depth video coding. The proposed scheme takes advantage of spatially varying content of depth maps and targets improved encoding performance. The key idea is to divide the video frames into several horizontal and vertical stripes and downsample each of them with an appropriate downsampling ratio. With this approach, the rectangular shape of the frames are preserved, hence the video sequence can be coded with a standard encoder. The downsampling ratios, defined for each Intra period, are determined via a Rate Distortion Optimization process. Simulation results show that the proposed method outperforms the reference in which no downsampling is used by 0.35dB of Bjontegaard delta Peak Signal-to-Noise Ratio (PSNR) and brings up to 31% and average of 18% of Bjontegaard delta bitrate reduction (dBR).

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“…The quality of the rendered images is fundamentally dependent on the accuracy of the disparity information. A high-quality disparity map is also essential in improving the efficiency of 3-D video coding schemes such as multiview video coding (MVC), multiview video plus depth (MVD), and layered depth video (LDV) [4]- [6]. Thus, the problem of improving the accuracy and efficiency of the disparity estimation process is an important and ongoing topic in the 3-D technology field.…”

Section: Introductionmentioning

confidence: 99%

Efficient Disparity Estimation Using Hierarchical Bilateral Disparity Structure Based Graph Cut Algorithm With a Foreground Boundary Refinement Mechanism

Wang

Tung

Chung

2013

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-The disparity estimation problem is commonly solved using graph cut (GC) methods, in which the disparity assignment problem is transformed to one of minimizing global energy function. Although such an approach yields an accurate disparity map, the computational cost is relatively high. Accordingly, this paper proposes a hierarchical bilateral disparity structure (HBDS) algorithm in which the efficiency of the GC method is improved without any loss in the disparity estimation performance by dividing all the disparity levels within the stereo image hierarchically into a series of bilateral disparity structures of increasing fineness. To address the well-known foreground fattening effect, a disparity refinement process is proposed comprising a fattening foreground region detection procedure followed by a disparity recovery process. The efficiency and accuracy of the HBDS-based GC algorithm are compared with those of the conventional GC method using benchmark stereo images selected from the Middlebury dataset. In addition, the general applicability of the proposed approach is demonstrated using several real-world stereo images.Index Terms-Disparity estimation, foreground fattening effect, global optimization, graph cut (GC), hierarchical bilateral disparity structure (HBDS), stereo matching.

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Reduced resolution depth coding for stereoscopic 3D video

Cited by 19 publications

References 6 publications

Boundary-preserving stereo matching with certain region detection and adaptive disparity adjustment

Boundary-preserving stereo matching with certain region detection and adaptive disparity adjustment

Content adaptive depth map resampling scheme in multiview video plus depth

Efficient Disparity Estimation Using Hierarchical Bilateral Disparity Structure Based Graph Cut Algorithm With a Foreground Boundary Refinement Mechanism

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