Layer Assignment Based on Depth Data Distribution for Multiview-Plus-Depth Scalable Video Coding

Karlsson, Linda; Sjöström, Mårten

doi:10.1109/tcsvt.2011.2130350

Cited by 11 publications

(4 citation statements)

References 41 publications

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“…In this section and due to limited space we will mention only the two most recent methods. [8] proposes a scheme for view scalability that assigns data to various layers based on the positions in depth map and the distances to the center view. The proposed 3D video rate control technique in [9] controls the bit-rates of video and depth simultaneously.…”

Section: Data Assignment and Bit Budget Allocation In Multi-view 3d Vmentioning

confidence: 99%

An adaptive framework for scalable multi-view video coding for the H.264/AVC standard

Roodaki

2012

Proceedings of the 20th ACM International Conference on Multimedia

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Multi-view 3D video is currently attracting growing attention in several applications such as the 3DTV, free-view point video and entertainment industry where it can be used to provide multiperspective viewing and 3D scene experiences. In multi-view 3D video, several 3D video sequences should be captured simultaneously from the same scene but through different viewing angles. One of the major challenges in this field is how to transmit the large amount of data of a multi-view 3D video sequence over error prone channels to heterogeneous devices with different bandwidth, resolution, and processing power, while maintaining a high visual quality. Scalable Multi-view 3D Video Coding (SMVC) is one of the methods to address this challenge. But there are many difficulties in SMVC that makes it impractical in most 3D video applications. In this work, we propose an adaptive framework to use SMVC in various 3D video applications effectively. The current prototype shows enhanced capability in handling the existing 3D video applications.

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Section: Data Assignment and Bit Budget Allocation In Multi-view 3d Vmentioning

confidence: 99%

An adaptive framework for scalable multi-view video coding for the H.264/AVC standard

Roodaki

2012

Proceedings of the 20th ACM International Conference on Multimedia

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“…In [3], 3D video data were assigned into different layers based on the depth data distribution for scalable video coding. In [4], super pixels were computed by the depth map, and then authors merge super pixel to produce a saliency map.…”

Section: Introductionmentioning

confidence: 99%

3D Video Coding Using Just Noticeable Depth Difference Based on H.265/HEVC

Bai

Zhang

2015

2015 11th International Conference on Computational Intelligence and Security (CIS)

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Just noticeable depth difference (JNDD) model represents the depth sensitivity of human visual system (HVS). Human eyes have different depth sensitivity for different distance and binocular disparity information. The JNDD model indicates that human can easily perceive the depth change when an object is close to the screen plane, but less sensitive to a distant object. If the depth information is below the JNDD threshold, there are visual redundancies, and we can process a video with bigger compression ratio. In this paper, we apply Silva's JNDD model to H.265/HEVC for the color image coding. We propose a perception region division algorithm (PRDA), through which we divide the depth map into four regions with different depth. Then, the quantization parameter is adjusted depending on a visual perception threshold. Experimental results show that our color image coding scheme improves the image quality without increasing bitrates.

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“…Since the current mobile Internet usually involves the heterogeneous access networks, the heterogeneities in channel bandwidth and channel quality bring many great challenges for wireless 3D video streaming. To deal with these challenges, scalable video coding can be used for 3D video to provide the channel-adaptive scalable view synthesis abilities [4].…”

Section: Introductionmentioning

confidence: 99%

Joint video/depth/FEC rate allocation with considering 3D visual saliency for scalable 3D video streaming

Liu

et al. 2013

2013 Visual Communications and Image Processing (VCIP)

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For robust video plus depth based 3D video streaming, video, depth and packet-level forward error correction (FEC) can provide many rate combinations with various 3D visual qualities to adapt to the dynamic channel conditions. Video/depth/FEC rate allocation under the channel bandwidth constraint is an important optimization problem for robust 3D video streaming. This paper proposes a joint video/depth/FEC rate allocation method by maximizing the receiver's 3D visual quality. Through predicting the perceptual 3D visual qualities of the different video/depth/FEC rate combinations, the optimal GOP-level video/depth/FEC rate combination can be found. Further, the selected FEC rates are unequally assigned to different levels of 3D saliency regions within each video/depth frame. The effectiveness of the proposed 3D saliency based joint video/depth/FEC rate allocation method for scalable 3D video streaming is validated by extensive experimental results.Index Terms-Video/depth rate allocation, FEC, 3D saliency, scalable 3D video streaming

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Layer Assignment Based on Depth Data Distribution for Multiview-Plus-Depth Scalable Video Coding

Cited by 11 publications

References 41 publications

An adaptive framework for scalable multi-view video coding for the H.264/AVC standard

An adaptive framework for scalable multi-view video coding for the H.264/AVC standard

3D Video Coding Using Just Noticeable Depth Difference Based on H.265/HEVC

Joint video/depth/FEC rate allocation with considering 3D visual saliency for scalable 3D video streaming

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