Please use this identifier to cite or link to this item: http://localhost/handle/Hannan/618367
Title: Light Field Multi-View Video Coding With Two-Directional Parallel Inter-View Prediction
Authors: Gengkun Wang;Wei Xiang;Mark Pickering;Chang Wen Chen
subject: encoding time|multi-view video coding|prediction structure|source coding rate|Light field video
Year: 2016
Publisher: IEEE
Abstract: Light field (LF) technology has been popularly adopted by a wide range of conventional industries. However, one problem when dealing with LFs is the sheer size of data volume. There have been many multi-view video coding (MVC)-based LF video coding methods reported in the literature, aiming at finding the best prediction structure for LF video coding. It is clear that the number of possible prediction structures is unlimited, and it is also observed that the coding bit-rate can be reduced by increasing the number of bi-directionally encoded views in the prediction structure. However, none work has been conducted to analyze the relationship of the prediction structure with its coding performance. In light of this observation, we first design a new LF-MVC prediction structure by extending the inter-view prediction into a two-directional parallel structure. Analytical models for source coding rate and encoding time are developed to analyze their relationships with the prediction structure, and are proven to be well-matched to our experimental results. Experimental evaluation of two LF video sequences demonstrates that the proposed LF-MVC prediction structure can achieve a factor of 26% bit-rate reduction against the conventional MVC prediction structure for an LF video with 5 × 5 views, and a further 34% bit-rate reduction for an LF video with a larger 10 × 10 views. Compared with the state-of-the-art MVC-based LF video coding prediction structures in the literature, LF-MVC can achieve the best coding performance, and with its high encoding efficiency, is well suited for deployment in practical LF-based 3D systems.
URI: http://localhost/handle/Hannan/148630
http://localhost/handle/Hannan/618367
ISSN: 1057-7149
1941-0042
volume: 25
issue: 11
Appears in Collections:2016

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Title: Light Field Multi-View Video Coding With Two-Directional Parallel Inter-View Prediction
Authors: Gengkun Wang;Wei Xiang;Mark Pickering;Chang Wen Chen
subject: encoding time|multi-view video coding|prediction structure|source coding rate|Light field video
Year: 2016
Publisher: IEEE
Abstract: Light field (LF) technology has been popularly adopted by a wide range of conventional industries. However, one problem when dealing with LFs is the sheer size of data volume. There have been many multi-view video coding (MVC)-based LF video coding methods reported in the literature, aiming at finding the best prediction structure for LF video coding. It is clear that the number of possible prediction structures is unlimited, and it is also observed that the coding bit-rate can be reduced by increasing the number of bi-directionally encoded views in the prediction structure. However, none work has been conducted to analyze the relationship of the prediction structure with its coding performance. In light of this observation, we first design a new LF-MVC prediction structure by extending the inter-view prediction into a two-directional parallel structure. Analytical models for source coding rate and encoding time are developed to analyze their relationships with the prediction structure, and are proven to be well-matched to our experimental results. Experimental evaluation of two LF video sequences demonstrates that the proposed LF-MVC prediction structure can achieve a factor of 26% bit-rate reduction against the conventional MVC prediction structure for an LF video with 5 × 5 views, and a further 34% bit-rate reduction for an LF video with a larger 10 × 10 views. Compared with the state-of-the-art MVC-based LF video coding prediction structures in the literature, LF-MVC can achieve the best coding performance, and with its high encoding efficiency, is well suited for deployment in practical LF-based 3D systems.
URI: http://localhost/handle/Hannan/148630
http://localhost/handle/Hannan/618367
ISSN: 1057-7149
1941-0042
volume: 25
issue: 11
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7553557.pdf4.76 MBAdobe PDFThumbnail
Preview File
Title: Light Field Multi-View Video Coding With Two-Directional Parallel Inter-View Prediction
Authors: Gengkun Wang;Wei Xiang;Mark Pickering;Chang Wen Chen
subject: encoding time|multi-view video coding|prediction structure|source coding rate|Light field video
Year: 2016
Publisher: IEEE
Abstract: Light field (LF) technology has been popularly adopted by a wide range of conventional industries. However, one problem when dealing with LFs is the sheer size of data volume. There have been many multi-view video coding (MVC)-based LF video coding methods reported in the literature, aiming at finding the best prediction structure for LF video coding. It is clear that the number of possible prediction structures is unlimited, and it is also observed that the coding bit-rate can be reduced by increasing the number of bi-directionally encoded views in the prediction structure. However, none work has been conducted to analyze the relationship of the prediction structure with its coding performance. In light of this observation, we first design a new LF-MVC prediction structure by extending the inter-view prediction into a two-directional parallel structure. Analytical models for source coding rate and encoding time are developed to analyze their relationships with the prediction structure, and are proven to be well-matched to our experimental results. Experimental evaluation of two LF video sequences demonstrates that the proposed LF-MVC prediction structure can achieve a factor of 26% bit-rate reduction against the conventional MVC prediction structure for an LF video with 5 × 5 views, and a further 34% bit-rate reduction for an LF video with a larger 10 × 10 views. Compared with the state-of-the-art MVC-based LF video coding prediction structures in the literature, LF-MVC can achieve the best coding performance, and with its high encoding efficiency, is well suited for deployment in practical LF-based 3D systems.
URI: http://localhost/handle/Hannan/148630
http://localhost/handle/Hannan/618367
ISSN: 1057-7149
1941-0042
volume: 25
issue: 11
Appears in Collections:2016

Files in This Item:
File Description SizeFormat 
7553557.pdf4.76 MBAdobe PDFThumbnail
Preview File