User Dependent Scheme for Multi-View Video Transmission

Pan, Ziyuan; Ikuta, Yoshihisa; Bandai, Masaki; Watanabe, Takashi

doi:10.1109/icc.2011.5963404

Cited by 27 publications

(15 citation statements)

References 7 publications

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“…This means that corresponds to the gain achieved by solving the optimization problem in (9), namely , with being the state that can be reached from by taking no actions. Then, (10) is equivalent to (14) This proves that Rule 2 permits to reach optimality.…”

Section: B Proof Of Optimalitymentioning

confidence: 74%

Optimized Packet Scheduling in Multiview Video Navigation Systems

Toni

Maugey

Frossard

2015

IEEE Trans. Multimedia

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International audienceWe study coding and transmission strategies in multi-camera systems, where correlated sources send data through a bottleneck channel to a central server, which eventually transmits views to different interactive users. We propose a dynamic navigation-path aware packet scheduling optimization under delay, bandwidth, and interactivity constraints aimed at optimizing the quality-of-experience of interactive users. In particular, the scene distortion is minimized jointly with the distortion variations along most likely navigation paths. The optimization relies both on a novel rate-distortion model, which captures the importance of each view in the scene reconstruction, and on an objective function that optimizes resources based on a client navigation model. The latter takes into account the distortion experienced by interactive clients as well as the distortion variations that might be observed by clients during multiview navigation. We solve the scheduling problem with a novel trellis-based solution, which permits to formally decompose the multivariate optimization problem thereby significantly reducing the computation complexity. Simulation results show the PSNR quality gain offered by the proposed algorithm compared to baseline scheduling policies. Finally, we show that the best scheduling policy consistently adapts to the most likely user navigation path and that it minimizes distortion variations that can be very disturbing for users in traditional navigation systems

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Section: B Proof Of Optimalitymentioning

confidence: 74%

Optimized Packet Scheduling in Multiview Video Navigation Systems

Toni

Maugey

Frossard

2015

IEEE Trans. Multimedia

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“…There have been several frameworks proposed for adaptive 3DV transmission [Yang et al 2007;Zhang and Florêncio 2010;Florêncio and Zhang 2009;Lou et al 2007;Kurutepe et al 2007;Pan et al 2011;Cheung et al 2011]. Zhang and Florêncio [2010] and Florêncio and Zhang [2009] proposed bits allocation between multiple views for multiview video coding, based on user feedback in a real-time interactive scenario.…”

Section: Existing Adaptive 3dv Transmission Approachesmentioning

confidence: 99%

“…Lou et al [2007] presented a 3DV multicast framework, where video from different viewpoints were broadcasted through different channels and users can select the channel they would like to "listen to". Kurutepe et al [2007], Pan et al [2011], andCheung et al [2011] focused on 3DV compression scheme design aiming at improved adaptive video transmission and view switching. Kurutepe et al [2007] proposed to compress multiview video with combination of MVC and SVC concepts and to dynamically select required view with certain quality.…”

Section: Existing Adaptive 3dv Transmission Approachesmentioning

confidence: 99%

A novel 3D video transcoding scheme for adaptive 3D video transmission to heterogeneous terminals

Liu

Chen

2012

ACM Trans. Multimedia Comput. Commun. Appl.

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Three-dimensional video (3DV) is attracting many interests with its enhanced viewing experience and more user driven features. 3DV has several unique characteristics different from 2D video: (1) It has a much larger amount of data captured and compressed, and corresponding video compression techniques can be much more complicated in order to explore data redundancy. This will lead to more constraints on users' network access and computational capability, (2) Most users only need part of the 3DV data at any given time, while the users' requirements exhibit large diversity, (3) Only a limited number of views are captured and transmitted for 3DV. View rendering is thus necessary to generate virtual views based on the received 3DV data. However, many terminal devices do not have the functionality to generate virtual views. To enable 3DV experience for the majority of users with limited capabilities, adaptive 3DV transmission is necessary to extract/generate the required data content and represent it with supported formats and bitrates for heterogeneous terminal devices. 3DV transcoding is an emerging and effective technique to achieve desired adaptive 3DV transmission. In this article, we propose the first efficient 3DV transcoding scheme that can obtain any desired view, either an encoded one or a virtual one, and compress it with more universal H.264/AVC. The key idea of the proposed scheme is to appropriately utilize motion information contained in the bitstream to generate candidate motion information. Original information of both the desired view and reference views are used to obtain this candidate information and a proper motion refinement process is carried out for certain blocks. Simulation results show that, compared to the straightforward cascade algorithm, the proposed scheme is able to output compressed bitstream of the required view with significantly reduced complexity while incurring negligible performance loss. Such a 3DV transcoding can be applied to most gateways that usually have constraints on computational complexity and time delay. ACM Reference Format:Liu, S. and Chen, C. W. 2012. A novel 3D video transcoding scheme for adaptive 3D video transmission to heterogeneous terminals. ACM Trans. Multimedia Comput.

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“…The work in [2] is mainly focused on coding views with a minimum level of redundancy in order to simplify the view switching, and the works in [17], [20] optimize the selection of views to be encoded and transmitted based on the user interest. The authors in [18], [21] investigate the transmission of multiview video coded streams on P2P networks and IP multicast, respectively.…”

Section: Related Workmentioning

confidence: 99%

Correlation-Aware Packet Scheduling in Multi-Camera Networks

Toni

Maugey

Frossard

2014

IEEE Trans. Multimedia

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In multiview applications, multiple cameras acquire the same scene from different viewpoints and generally produce correlated video streams. This results in large amounts of highly redundant data. In order to save resources, it is critical to handle properly this correlation during encoding and transmission of the multiview data. In this work, we propose a correlation-aware packet scheduling algorithm for multi-camera networks, where information from all cameras are transmitted over a bottleneck channel to clients that reconstruct the multiview images. The scheduling algorithm relies on a new rate-distortion model that captures the importance of each view in the scene reconstruction. We propose a problem formulation for the optimization of the packet scheduling policies, which adapt to variations in the scene content. Then, we design a low complexity scheduling algorithm based on a trellis search that selects the subset of candidate packets to be transmitted towards effective multiview reconstruction at clients. Extensive simulation results confirm the gain of our scheduling algorithm when inter-source correlation information is used in the scheduler, compared to scheduling policies with no information about the correlation or non-adaptive scheduling policies. We finally show that increasing the optimization horizon in the packet scheduling algorithm improves the transmission performance, especially in scenarios where the level of correlation rapidly varies with time.

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User Dependent Scheme for Multi-View Video Transmission

Cited by 27 publications

References 7 publications

Optimized Packet Scheduling in Multiview Video Navigation Systems

Optimized Packet Scheduling in Multiview Video Navigation Systems

A novel 3D video transcoding scheme for adaptive 3D video transmission to heterogeneous terminals

Correlation-Aware Packet Scheduling in Multi-Camera Networks

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