Analysis of Packet-Loss-Induced Distortion in View Synthesis Prediction-Based 3D Video Coding
View synthesis prediction (VSP) is a crucial coding tool for improving compression efficiency in the next generation 3D video systems. However, VSP is susceptible to catastrophic error propagation when multi-view video plus depth (MVD) data are transmitted over lossy networks. This paper aims at acc...
Ausführliche Beschreibung
Gespeichert in:
| Autor*in: |
Gao, Pan [verfasserIn] |
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| Format: |
Artikel |
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| Sprache: |
Englisch |
| Erschienen: |
2017 |
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| Schlagwörter: |
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| Übergeordnetes Werk: |
Enthalten in: IEEE transactions on image processing - New York, NY : Inst., 1992, 26(2017), 6, Seite 2781-2796 |
|---|---|
| Übergeordnetes Werk: |
volume:26 ; year:2017 ; number:6 ; pages:2781-2796 |
| Links: |
|---|
| DOI / URN: |
10.1109/TIP.2017.2690058 |
|---|
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OLC1993308385 |
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| 520 | |a View synthesis prediction (VSP) is a crucial coding tool for improving compression efficiency in the next generation 3D video systems. However, VSP is susceptible to catastrophic error propagation when multi-view video plus depth (MVD) data are transmitted over lossy networks. This paper aims at accurately modeling the transmission errors propagated in the inter-view direction caused by VSP. Toward this end, we first study how channel errors gradually propagate along the VSP-based inter-view prediction path. Then, a new recursive model is formulated to estimate the expected end-to-end distortion caused by those channel losses. For the proposed model, the compound impact of the transmission distortions of both the texture video and depth map on the quality of the synthetic reference view is mathematically analyzed. Especially, the expected view synthesis distortion due to depth errors is characterized in the frequency domain using a new approach, which combines the energy densities of the reconstructed texture image and the channel errors. The proposed model also explicitly considers the disparity rounding operation invoked for the sub-pixel precision rendering of the synthesized reference view. Experimental results are presented to demonstrate that the proposed analytic model is capable of effectively modeling the channel-induced distortion for MVD-based 3D video transmission. | ||
| 650 | 4 | |a Image coding | |
| 650 | 4 | |a channel distortion modeling | |
| 650 | 4 | |a Video coding | |
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| 650 | 4 | |a Multi-view video plus depth coding | |
| 650 | 4 | |a Mathematical model | |
| 650 | 4 | |a Estimation | |
| 650 | 4 | |a Analytical models | |
| 650 | 4 | |a Solid modeling | |
| 650 | 4 | |a view synthesis prediction | |
| 650 | 4 | |a 3D video transmission | |
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| 700 | 1 | |a Xiang, Wei |4 oth | |
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10.1109/TIP.2017.2690058 doi PQ20170501 (DE-627)OLC1993308385 (DE-599)GBVOLC1993308385 (PRQ)ieee_primary_0b00006485c587860 (KEY)0213811520170000026000602781analysisofpacketlossinduceddistortioninviewsynthes DE-627 ger DE-627 rakwb eng 004 620 DNB 54.00 bkl Gao, Pan verfasserin aut Analysis of Packet-Loss-Induced Distortion in View Synthesis Prediction-Based 3D Video Coding 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier View synthesis prediction (VSP) is a crucial coding tool for improving compression efficiency in the next generation 3D video systems. However, VSP is susceptible to catastrophic error propagation when multi-view video plus depth (MVD) data are transmitted over lossy networks. This paper aims at accurately modeling the transmission errors propagated in the inter-view direction caused by VSP. Toward this end, we first study how channel errors gradually propagate along the VSP-based inter-view prediction path. Then, a new recursive model is formulated to estimate the expected end-to-end distortion caused by those channel losses. For the proposed model, the compound impact of the transmission distortions of both the texture video and depth map on the quality of the synthetic reference view is mathematically analyzed. Especially, the expected view synthesis distortion due to depth errors is characterized in the frequency domain using a new approach, which combines the energy densities of the reconstructed texture image and the channel errors. The proposed model also explicitly considers the disparity rounding operation invoked for the sub-pixel precision rendering of the synthesized reference view. Experimental results are presented to demonstrate that the proposed analytic model is capable of effectively modeling the channel-induced distortion for MVD-based 3D video transmission. Image coding channel distortion modeling Video coding Distortion Multi-view video plus depth coding Mathematical model Estimation Analytical models Solid modeling view synthesis prediction 3D video transmission Peng, Qiang oth Xiang, Wei oth Enthalten in IEEE transactions on image processing New York, NY : Inst., 1992 26(2017), 6, Seite 2781-2796 (DE-627)131074458 (DE-600)1111265-7 (DE-576)029165008 1057-7149 nnns volume:26 year:2017 number:6 pages:2781-2796 http://dx.doi.org/10.1109/TIP.2017.2690058 Volltext http://ieeexplore.ieee.org/document/7890418 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 54.00 AVZ AR 26 2017 6 2781-2796 |
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10.1109/TIP.2017.2690058 doi PQ20170501 (DE-627)OLC1993308385 (DE-599)GBVOLC1993308385 (PRQ)ieee_primary_0b00006485c587860 (KEY)0213811520170000026000602781analysisofpacketlossinduceddistortioninviewsynthes DE-627 ger DE-627 rakwb eng 004 620 DNB 54.00 bkl Gao, Pan verfasserin aut Analysis of Packet-Loss-Induced Distortion in View Synthesis Prediction-Based 3D Video Coding 2017 Text txt rdacontent ohne Hilfsmittel zu benutzen n rdamedia Band nc rdacarrier View synthesis prediction (VSP) is a crucial coding tool for improving compression efficiency in the next generation 3D video systems. However, VSP is susceptible to catastrophic error propagation when multi-view video plus depth (MVD) data are transmitted over lossy networks. This paper aims at accurately modeling the transmission errors propagated in the inter-view direction caused by VSP. Toward this end, we first study how channel errors gradually propagate along the VSP-based inter-view prediction path. Then, a new recursive model is formulated to estimate the expected end-to-end distortion caused by those channel losses. For the proposed model, the compound impact of the transmission distortions of both the texture video and depth map on the quality of the synthetic reference view is mathematically analyzed. Especially, the expected view synthesis distortion due to depth errors is characterized in the frequency domain using a new approach, which combines the energy densities of the reconstructed texture image and the channel errors. The proposed model also explicitly considers the disparity rounding operation invoked for the sub-pixel precision rendering of the synthesized reference view. Experimental results are presented to demonstrate that the proposed analytic model is capable of effectively modeling the channel-induced distortion for MVD-based 3D video transmission. Image coding channel distortion modeling Video coding Distortion Multi-view video plus depth coding Mathematical model Estimation Analytical models Solid modeling view synthesis prediction 3D video transmission Peng, Qiang oth Xiang, Wei oth Enthalten in IEEE transactions on image processing New York, NY : Inst., 1992 26(2017), 6, Seite 2781-2796 (DE-627)131074458 (DE-600)1111265-7 (DE-576)029165008 1057-7149 nnns volume:26 year:2017 number:6 pages:2781-2796 http://dx.doi.org/10.1109/TIP.2017.2690058 Volltext http://ieeexplore.ieee.org/document/7890418 GBV_USEFLAG_A SYSFLAG_A GBV_OLC SSG-OLC-TEC SSG-OLC-MAT GBV_ILN_70 54.00 AVZ AR 26 2017 6 2781-2796 |
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IEEE transactions on image processing |
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Analysis of Packet-Loss-Induced Distortion in View Synthesis Prediction-Based 3D Video Coding |
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Analysis of Packet-Loss-Induced Distortion in View Synthesis Prediction-Based 3D Video Coding |
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Gao, Pan |
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IEEE transactions on image processing |
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IEEE transactions on image processing |
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10.1109/TIP.2017.2690058 |
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004 620 |
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analysis of packet-loss-induced distortion in view synthesis prediction-based 3d video coding |
| title_auth |
Analysis of Packet-Loss-Induced Distortion in View Synthesis Prediction-Based 3D Video Coding |
| abstract |
View synthesis prediction (VSP) is a crucial coding tool for improving compression efficiency in the next generation 3D video systems. However, VSP is susceptible to catastrophic error propagation when multi-view video plus depth (MVD) data are transmitted over lossy networks. This paper aims at accurately modeling the transmission errors propagated in the inter-view direction caused by VSP. Toward this end, we first study how channel errors gradually propagate along the VSP-based inter-view prediction path. Then, a new recursive model is formulated to estimate the expected end-to-end distortion caused by those channel losses. For the proposed model, the compound impact of the transmission distortions of both the texture video and depth map on the quality of the synthetic reference view is mathematically analyzed. Especially, the expected view synthesis distortion due to depth errors is characterized in the frequency domain using a new approach, which combines the energy densities of the reconstructed texture image and the channel errors. The proposed model also explicitly considers the disparity rounding operation invoked for the sub-pixel precision rendering of the synthesized reference view. Experimental results are presented to demonstrate that the proposed analytic model is capable of effectively modeling the channel-induced distortion for MVD-based 3D video transmission. |
| abstractGer |
View synthesis prediction (VSP) is a crucial coding tool for improving compression efficiency in the next generation 3D video systems. However, VSP is susceptible to catastrophic error propagation when multi-view video plus depth (MVD) data are transmitted over lossy networks. This paper aims at accurately modeling the transmission errors propagated in the inter-view direction caused by VSP. Toward this end, we first study how channel errors gradually propagate along the VSP-based inter-view prediction path. Then, a new recursive model is formulated to estimate the expected end-to-end distortion caused by those channel losses. For the proposed model, the compound impact of the transmission distortions of both the texture video and depth map on the quality of the synthetic reference view is mathematically analyzed. Especially, the expected view synthesis distortion due to depth errors is characterized in the frequency domain using a new approach, which combines the energy densities of the reconstructed texture image and the channel errors. The proposed model also explicitly considers the disparity rounding operation invoked for the sub-pixel precision rendering of the synthesized reference view. Experimental results are presented to demonstrate that the proposed analytic model is capable of effectively modeling the channel-induced distortion for MVD-based 3D video transmission. |
| abstract_unstemmed |
View synthesis prediction (VSP) is a crucial coding tool for improving compression efficiency in the next generation 3D video systems. However, VSP is susceptible to catastrophic error propagation when multi-view video plus depth (MVD) data are transmitted over lossy networks. This paper aims at accurately modeling the transmission errors propagated in the inter-view direction caused by VSP. Toward this end, we first study how channel errors gradually propagate along the VSP-based inter-view prediction path. Then, a new recursive model is formulated to estimate the expected end-to-end distortion caused by those channel losses. For the proposed model, the compound impact of the transmission distortions of both the texture video and depth map on the quality of the synthetic reference view is mathematically analyzed. Especially, the expected view synthesis distortion due to depth errors is characterized in the frequency domain using a new approach, which combines the energy densities of the reconstructed texture image and the channel errors. The proposed model also explicitly considers the disparity rounding operation invoked for the sub-pixel precision rendering of the synthesized reference view. Experimental results are presented to demonstrate that the proposed analytic model is capable of effectively modeling the channel-induced distortion for MVD-based 3D video transmission. |
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| title_short |
Analysis of Packet-Loss-Induced Distortion in View Synthesis Prediction-Based 3D Video Coding |
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http://dx.doi.org/10.1109/TIP.2017.2690058 http://ieeexplore.ieee.org/document/7890418 |
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Peng, Qiang Xiang, Wei |
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