Tutorial on Soft Video Delivery for mobile and latency critical applications at ICIP 2022, Bordeaux
18 Août 2022
Catégorie : Autres événements
My colleagues (Michel Kieffer , Marco Cagnazzo, François-Xavier COUDOUX) and myself (Anthony TRIOUX) will be presenting at ICIP2022, (Bordeaux, France, 16 October 2022) an emerging field related to video transmission called « Soft video delivery ».
Our tutorial is entitled : « Soft Video Delivery: Getting seamless quality adaptation in mobile and latency-critical applications ».
Please do not hesitate to register if you are interested in low-latency and robust video delivery applications. Virtual registrations are also possible!
Deadline for registration: 31 August 2022. Please follow this link on how to register:
More information on the tutorial are available below.
Soft Video Delivery: Getting seamless quality adaptation in mobile and latency-critical applications
Authors: Anthony Trioux1, François-Xavier Coudoux1, Marco Cagnazzo2-3, Michel Kieffer4
1IEMN-DOAE Laboratory, Univ. Polytechnique Hauts-de-France, CNRS, Univ. Lille, YNCREA, Centrale Lille, France;
2LTCI, Télécom ParisTech, Institut Polytechnique de Paris, France;
3University of Padua, Department of Information Engineering, Italy;
4Univ. Paris-Saclay, CNRS, CentraleSupélec, L2S, 91192 Gif-sur-Yvette, France
Conventional video coding and transmission systems are currently based on digital video compression (e.g., HEVC) on a suitable network protocol (802.11, 4G, or 5G) and rely on Shannon separation theorem. However, they suffer from some inherent limitations when the video content is transmitted over wireless error-prone networks. First, the coding choices (compression rate, channel coding rate) are decided a priori and at the transmitter and are the same for all the potential receivers. They could misfit with the actual channel conditions. Some user(s) with degraded channels may undergo digital cliff (glitches or freeze of the video) while other(s) may have a very good channel and yet not taking fully benefit of it since the design choices are based on more pessimistic hypotheses. Second, the traditional techniques require a permanent adaptation of the coding parameters by the transmitter relying on an estimate of the rate-distortion characteristic of the source and on an estimation of the channel characteristics, implying additional delay to perform this adaptation. Third, delay is introduced by the various buffers present at the encoder, within the network, and at the receiver. They are either required to smooth out variations of the encoding rate and of the channel characteristics, or due to the shared network infrastructure.
Soft Video Delivery (SVD) architectures, pioneered by the SoftCast scheme, have demonstrated over the last decade a high potential to address/mitigate these issues. SVD architectures are joint source-channel video coding and transmission schemes that process pixels by successive linear operations (spatio-temporal decorrelation transform, power allocation, analog modulation) and directly transmitthe information without quantization or coding. SVD architectures deliver a single data stream that can be decoded by any receiver, even those experiencing bad channel quality. This data stream allows each receiver to decode a video quality commensurate with its channel quality, without requiring any feedback information, while avoiding the complex adaptation mechanisms of conventional schemes. Moreover, SVD architectures offer a relatively low and controlled latency that can be adjusted through the size of the temporal transform. This is a paradigm break with respect to traditional video transmission architectures, which has the potential of dramatically improving the quality of experience in wireless and latency-constrained scenarios.
This tutorial will first introduce use cases where SVD architectures can make a difference compared to traditional schemes relying on conventional encoded video streams (e.g., HEVC) over a suitable network protocol (802.11, 4G, or 5G). Issues with conventional digital schemes will also be discussed (e.g., complex adaptation, cliff-effect, etc.), justifying the SVD approaches. Then, a block-by-block description of the components of the baseline SoftCast SVD scheme will be presented and visual examples provided to facilitate the understanding. A third part will be devoted to real implementations of SVD architectures, the dense modulation process and bandwidth computation will be detailed. Recent technical innovations and results from the literature will be presented and discussed. Finally, current research challenges related to the development of SVD architectures will be presented.