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IEEE Visual Communications and Image Processing Conference

作者： Shimizu, Shinya Shiori, Sugimoto Kojima, Akira NTT Corp NTT Media Intelligence Labs Tokyo Japan

ISBN: (纸本)9781479961399

View synthesis prediction is critical for efficient compression of 3d video, which consists of multiview video and depth maps. However, its performance is limited in practical situations since it is necessary to use erroneous depth information and to perform block-based compensation instead of pixel-based warping. This paper proposes a novel view synthesis prediction scheme where motion field is synthesized by utilizing coarse disparity filed derived from erroneous depth information. As part of the proposed depth-based motion field synthesis, occlusion-aware backward mapping and 3d motion field warping are performed. In order to improve prediction performance with block-based compensation, an adaptive prediction sample generation that utilizes both temporal and inter-view correlations is also proposed. Experiments show that the proposed scheme achieves average bitrate reductions of 1.38% and 1.19% for coded views and synthesized views. The maximum gain is 11.57% for dependent view.

关键词： 3d video coding View Synthesis Prediction (VSP) Motion Field Synthesis 3d-HEVC

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Joint Bit Allocation for 3d video coding Based on Virtual View distortion 3

Joint Bit Allocation for 3D video Coding Based on Virtual Vi...

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Conference on Optoelectronic Imaging and Multimedia Technology III

作者： Yang Chao An Ping Wang Jianxin Zhang Zhaoyang Minist Educ Key Lab Adv Displays & Syst Applicat Shanghai 200072 Peoples R China

ISBN: (纸本)9781628413465

In multi-view plus depth (MVd) 3d video coding, texture maps and depth maps are coded jointly. The depth maps provide the scene geometry information and are used to render the virtual view at the terminal through a depth-Image-Based-Rendering (dIBR) technique. The distortion of the coded texture maps and depth maps will induce synthesized virtual view distortion. Besides the coding efficiency of texture maps and depth maps, bit allocation between texture maps and depth maps also has a great effect on the virtual view quality. In this paper, the virtual view distortion is divided into texture maps induced distortion and depth maps induced distortion separately, models of texture maps induced virtual view distortion and depth maps induced virtual view distortion are derived respectively. Based on the depth maps induced virtual view distortion model, depth maps coding Rate distortion Optimization (RdO) is modified and the depth maps coding efficiency is increased. Meanwhile, we also propose a Rate-distortion (R-d) model to solve the joint bit allocation problem. Experimental results demonstrate the high accuracy of the proposed virtual view distortion model. The R-d performance of the proposed algorithm is close to the full search algorithm that can give the best R-d performance, while the coding complexity of the proposed algorithm is lower. Compared with fixed texture and depth bits ratio (5:1), an average 0.3 dB gains can be achieved by the proposed algorithm. The proposed algorithm has high rate control accuracy with the average error less than 1%.

关键词： 3d video coding joint bit allocation rate control virtual view distortion

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Neural Network-Based Post-Processing Filter on V-PCC Attribute Frames

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IEICE TRANSACTIONS ON INFORMATION ANd SYSTEMS 2023年第10期E106D卷 1673-1676页

作者： Takada, Keiichiro Tokumo, Yasuaki Ikai, Tomohiro Chujoh, Takeshi Sharp Co Ltd 261 8520 Japan Chiba 261520 Japan

video-based point cloud compression (V-PCC) utilizes video compression technology to efficiently encode dense point clouds providing state-of-the-art compression performance with a relatively small computation burden. V-PCC converts 3-dimensional point cloud data into three types of 2-dimensional frames, i.e., occupancy, geometry, and at-tribute frames, and encodes them via video compression. On the other hand, the quality of these frames may be degraded due to video com-pression. This paper proposes an adaptive neural network-based post -processing filter on attribute frames to alleviate the degradation problem. Furthermore, a novel training method using occupancy frames is studied. The experimental results show average Bd-rate gains of 3.0%, 29.3% and 22.2% for Y, U and V respectively.

关键词： 3d video coding point cloud compression neural network coding

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depth-based Block Partitioning for 3d video coding

Depth-based Block Partitioning for 3D Video Coding

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Picture coding Symposium (PCS)

作者： Jaeger, Fabian Rhein Westfal TH Aachen Inst Nachrichtech Aachen Germany

ISBN: (纸本)9781479902941

3d video is an emerging technology that bundles depth information with texture videos to allow for view synthesis applications at the receiver. depth discontinuities define object boundaries in both, depth maps and the collocated texture video. Therefore, segmentation of the depth map can be used for more accurate partitioning of the corresponding texture component. In this paper, already coded depth maps are used to increase coding efficiency for texture videos by deriving an arbitrarily shaped partitioning of a texture block based on the collocated depth block. By applying motion compensation to each partition and combining them afterwards by a depth-based segmentation mask, highly accurate prediction signals can be formed that reduce the remaining residual signal significantly. Simulation results show bitrate savings of up to 5.7 % for the dependent texture views and up to 2.3 % with respect to the total bitrate.

关键词： 3d video coding depth map motion partition High Efficiency video coding (HEVC)

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SYNTHESIZEd dISPARITY VECTORS FOR 3d video coding

SYNTHESIZED DISPARITY VECTORS FOR 3D VIDEO CODING

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20th IEEE International Conference on Image Processing (ICIP)

作者： Zhao, Yin Zhang, Yichen Lu, Peng Yu, Lu Zhejiang Univ Inst Informat & Commun Engn Hangzhou Zhejiang Peoples R China Zhejiang Prov Key Lab Informat Network Technol Hangzhou Zhejiang Peoples R China

ISBN: (纸本)9781479923410

In 3d video coding, some dependent-view coding tools may utilize derived disparity vectors (dV) to locate inter-view correspondences, such as the Backward block-based View Synthesis Prediction (BVSP) and depth-based Motion Vector Prediction (dMVP) in ATM. A typical way to derive a dV for a target block, as performed in ATM, is to convert reconstructed depth values associated with the block to a dV. However, this approach only works in depth-first coding order (dFCO) and becomes inapplicable when the dependent-view texture is coded prior to the depth, i.e., in texture-first coding order (TFCO). In this paper, a sparse dV field is synthesized from the depth map of a coded reference view to provide the dVs required by dependent-view coding tools in TFCO. The synthesized sparse dV field is accurate to support disparity-aided coding tools in different coding orders, while only introducing 2% decoding time increase. With the proposed method, BVSP and dMVP can be applied in both TFCO and dFCO, which mitigates the large coding performance gap (around 20% Bd rate) between TFCO and dFCO of ATM.

关键词： 3d video coding depth-based motion vector prediction disparity vector view synthesis prediction

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Edge-Guided depth Map Resampling for HEVC 3d video coding

Edge-Guided Depth Map Resampling for HEVC 3D Video Coding

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International Conference on Virtual Reality and Visualization (ICVRV)

作者： Yang, Yi Zheng, Jiangbin Northwestern Polytech Univ Sch Comp Shaanxi Prov Key Lab Speech & Image Informat Proc Xian 710072 Peoples R China

ISBN: (纸本)9780769551500

Multiview video plus depth (MVd) format is considered to be essential in the next generation three-dimensional television (3dTV). The compression of this format is crucial. depth images are featured by large homogeneous areas and sharp edges between objects. It has been observed that efficient compression can be achieved by a down-up sampling procedure as pre- and post-processing of video coding. We propose an edge-guided depth map resampling method based on the above scheme, combine the edge information of both texture and depth images for edge preserving, extend image gradient domain reconstruction concept to depth up-sampling to form a linear equation system to find least square solution. Experimental results show that proposed method improves both depth map coding efficiency and synthesized view quality. Additionally, the up-scaling method can be used for depth super-resolution reconstruction of depth data captured by depth sensors, like Kinect or TOF cameras.

关键词： 3d video coding depth down/up sampling 3d HEVC

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VIEW ORdER ALTERNATION SYMMETRIZATION ANd TEMPORAL INTER-VIEW COMBINEd PREdICTION FOR 3d video coding

VIEW ORDER ALTERNATION SYMMETRIZATION AND TEMPORAL INTER-VIE...

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3dTV-Conference on True Vision-Capture, Transmission and display of 3d video (3dTV-CON)

作者： Chen, Li Hannuksela, Miska M. Li, Hougiang Univ Sci & Technol China Beijing Peoples R China Nokia Res Ctr Beijing Peoples R China

ISBN: (纸本)9781479913695

Asymmetric stereoscopic video coding, where one view has a higher quality than the other, has been researched widely. In order to balance the quality difference between views, it has been suggested to alternate the higher-quality view periodically. However, it has also been found out that inter-view prediction is more effective when the source of prediction is the higher-quality view. In this paper, it is proposed to change the inter-view prediction direction periodically together with gradual view refresh. The proposal was implemented on top of the reference software for the multiview and multiview-plus-depth extensions of the High Efficiency video coding (H.265/HEVC) standard. Experimental results show that up to 9.1% and an average of 3.1% bitrate reduction are achieved with respect to the MPEG Anchor.

关键词： Asymmetric stereoscopic video 3d video coding MV-HEVC 3d-HEVC

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Research of Object-oriented 3d video coding segmentation

Research of Object-oriented 3D video coding segmentation

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International Conference on Sensors, Measurement and Intelligent Materials (ICSMIM 2012)

作者： Zhang, Jian Huang, Zhiye Peng, Jinxiang Guangdong Vocat Technol Coll Foshan 528041 Guangdong Peoples R China

ISBN: (纸本)9783037856529

This paper presents an algorithm about the extraction of left channel video object which based on high-order statistical change detection and the segmentation of right channel video object based on parallax matching. This algorithm combines the advantages of disparity map segmentation and multiple frame difference motion segmentation. First of all, through the segmentation of the parallax matching video objects in the right channel, we can get primary partition templates in different layers of parallax targets;Secondary with high-order statistical change detection, we can extract video objects in the left channel from templates. Finally we obtain the accurate moving target. Based on 3d multi-view video segmentation, we use H.264-based method to encode the main image flow and then get object-based 3d video coding.

关键词： 3d video coding parallax prediction global parallax estimation multi-view video segmentation

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IMPROVEd dEPTH-BASEd MOTION VECTOR PREdICTION IN 3d video coding

IMPROVED DEPTH-BASED MOTION VECTOR PREDICTION IN 3D VIDEO CO...

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20th IEEE International Conference on Image Processing (ICIP)

作者： Lee, Jin Young Wey, Ho-Cheon Park, du-Sik Samsung Elect Co Ltd Daegu South Korea

ISBN: (纸本)9781479923410

In H. 264/AVC, motion vector prediction is only required to reduce temporal redundancy. In order to support inter-view motion vector prediction in multi-view video coding, the prediction process in H. 264/AVC is extended in inter-view direction. In general, the temporal and inter-view motion vector prediction uses motion vectors of neighboring blocks around a current block. However, current 3d video coding deals with a multi-view video plus depth (MVd) format, so motion vectors in texture images can be predicted from the corresponding depth images. In this paper, we introduce an improved depth-based motion vector prediction method for the efficient 3d video coding. Simulation results show that the proposed method obtains higher coding efficiency than the conventional method.

关键词： 3d video coding depth-based motion vector prediction inter-view prediction multi-view video plus depth (MVd) format

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IMPROVEd dEPTH-BASEd MOTION VECTOR PREdICTION IN 3d video coding

IMPROVED DEPTH-BASED MOTION VECTOR PREDICTION IN 3D VIDEO CO...

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IEEE International Conference on Image Processing

作者： Jin Young Lee Ho-Cheon Wey du-Sik Park Samsung Electronics Co. Ltd.

ISBN: (纸本)9781479923427

In H.264/AVC, motion vector prediction is only required to reduce temporal redundancy. In order to support inter-view motion vector prediction in multi-view video coding, the prediction process in H.264/AVC is extended in inter-view direction. In general, the temporal and inter-view motion vector prediction uses motion vectors of neighboring blocks around a current block. However, current 3d video coding deals with a multi-view video plus depth (MVd) format, so motion vectors in texture images can be predicted from the corresponding depth images. In this paper, we introduce an improved depth-based motion vector prediction method for the efficient 3d video coding. Simulation results show that the proposed method obtains higher coding efficiency than the conventional method.

关键词： 3d video coding depth-based motion vector prediction inter-view prediction multi-view video plus depth (MVd) format

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