Optimal Multilayer Adaptation of SVC Video over Heterogeneous Environments

Abstract

Scalable video coding (SVC) is a new video coding format which provides scalability in three-dimensional (spatio-temporal-SNR) space. In this paper, we focus on the adaptation in SNR dimension. Usually, an SVC bitstream may contain multiple spatial layers, and each spatial layer may be enhanced by several FGS layers. To meet a bitrate constraint, the fine-grained scalability (FGS) data of different spatial layers can be truncated in various manners. However, the contributions of FGS layers to the overall/collective video quality are different. In this work, we propose an optimized framework to control the SNR scalability across multiple spatial layers. Our proposed framework has the flexibility in allocating the resource (i.e., bitrate) among spatial layers, where the overall quality is defined as a function of all spatial layers' qualities and can be modified on the fly.

Combined Source and Channel Strategies for Optimized Video Communications

“…Hence, using SVC allows supporting a broad range of devices with different capabilities (display resolution, battery power) and access networks. Several papers on SVC applications have been proposed recently in the literature (Schierl et al, 2006) (Kouadio et al, 2008) (Thang et al, 2008). For example, Hellge et al propose to combine of the spatial and SNR scalability features of SVC with the hierarchical modulation of DVB-H (Hellge et al, 2009).…”

Scalable video adaptation optimization using soft decision scheme

“…Compared with [7], our proposed model is more flexible to feet the user preference where the model of weighted PSNR work is limited according to PSNR curve. Second, we don't have to compute any extra information in advance for generating the model of adaptor.…”

“…The classification-based adaptation scheme [6] proposes a multidimensional adaptation prediction method that combines the temporal and SNR scalability by using subjective quality evaluation. The framework [7] proposes the weighted PSNR model for SVC adaptation and this method is used to find the adaptation path of SNR scalability as the predefined model when a specific spatial and temporal resolution is selected. Although the computation is less than a transcoder or decoder, the computation is still an issue when the amount of clients is enormous.…”

Enhancing Scalability in On-Demand Video Streaming Services for P2P Systems

“…Multilayer systems work in par with the Scalable Video Encoding (SVC) with the difference that here the server provides input to the dropping of layers of frames on the fly to satisfy the requestor's bit rate. This is necessary because the contributions of Fine Grained (FG) layers to the overall video quality are different [14] which are handled by the server using the transcoder module of QPMVM.…”

“…Hybrid streams are generated when the multiversion streams switch to multilayered one for the required bit rate by dropping frame from the current multiversion stream. Multiversion cannot be combined with Scalable Video Coding since it contains multiple base layers and is more suitable to scale in three-dimension space [14].…”