scholarly journals Optimal Multilayer Adaptation of SVC Video over Heterogeneous Environments

2008 ◽  
Vol 2008 ◽  
pp. 1-8 ◽  
Author(s):  
Truong Cong Thang ◽  
Jung Won Kang ◽  
Jeong-Ju Yoo ◽  
Yong Man Ro
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Three Dimensional ◽  
Scalable Video ◽  
Heterogeneous Environments ◽  
Fine Grained ◽  
Spatio Temporal

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.

Efficient Scalable Video Coding Method Using Discrete Bandelet Transform

2020 ◽  
Vol 34 (14) ◽  
pp. 2055023
Author(s):  
Yogananda Patnaik ◽  
Dipti Patra
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Research Area ◽  
Set Partitioning ◽  
Scalable Video ◽  
Vector Decomposition ◽  
Coding Method ◽  
Benchmark Datasets ◽  
Spatio Temporal ◽  
Ordered Data

Video coding is an imperative part of the modern day communication system. Furthermore, it has vital roles in the fields of video streaming, multimedia, video conferencing and much more. Scalable Video Coding (SVC) is an emerging research area, due to its extensive application in most of the multimedia devices as well as public demand. The proposed coding technique is capable of eliminating the Spatio-temporal regularity of a video sequence. In Discrete Bandelet Transform (DBT), the directions are modeled by a three-directional vector field, known as structural flow. Regularity is decided by this flow where the data entropy is low. The wavelet vector decomposition of geometrically ordered data results in a lesser extent of significant coefficients. The directions of geometrical regularity are interpreted with a two-dimensional vector, and the approximation of these directions is found with spline functions. This paper deals with a novel SVC technique by exploiting the DBT. The bandelet coefficients are further encoded by utilizing Set Partitioning in Hierarchical Trees (SPIHT) encoder, followed by global thresholding mechanism. The proposed method is verified with several benchmark datasets using the performance measures which gives enhanced performance. Thus, the experimental results bring out the superiority of the proposed technique over the state-of-arts.

scholarly journals P2P video streaming combining SVC and MDC

2011 ◽  
Vol 21 (2) ◽  
pp. 295-306 ◽  
Author(s):  
Francisco de Asís López-Fuentes
Keyword(s):  
Video Coding ◽  
Video Streaming ◽  
Packet Loss ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Scalable Video ◽  
Video Content ◽  
Multiple Description ◽  
Video Distribution ◽  
P2p Video Streaming

P2P video streaming combining SVC and MDC In this paper we propose and evaluate a combined SVC-MDC (Scalable Video Coding & Multiple Description Video Coding) video coding scheme for Peer-to-Peer (P2P) video multicast. The proposed scheme is based on a full cooperation established between the peer sites, which contribute their upload capacity during video distribution. The source site splits the video content into many small blocks and assigns each block to a single peer for redistribution. Our solution is implemented in a fully meshed P2P network in which peers are connected to each other via UDP (User Datagram Protocol) links. The video content is encoded by using the Scalable Video Coding (SVC) method. We present a flow control mechanism that allows us to optimize dynamically the overall throughput and to automatically adjust video quality for each peer. Thus, peers with different upload capacity receive different video quality. We also combine the SVC method with Multiple Description Coding (MDC) to alleviate the packet loss problem. We implemented and tested this approach in the PlanetLab infrastructure. The obtained results show that our solution achieves good performance and remarkable video quality in the presence of packet loss.

Measuring Video Quality on Full Scalability of H.264/AVC Scalable Video Coding

2008 ◽  
Vol E91-B (5) ◽  
pp. 1269-1278 ◽  
Author(s):  
C. S. KIM ◽  
S. H. JIN ◽  
D. J. SEO ◽  
Y. M. RO
Keyword(s):  
Video Coding ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Scalable Video

Robust Video Transmission for H.264 Scalable Video Coding System over Error-Prone Networks

2011 ◽  
Vol 58-60 ◽  
pp. 1554-1559
Author(s):  
Chou Chen Wang ◽  
Wei Han Chen ◽  
Yan Lin Lu ◽  
Jia Wei Wu
Keyword(s):  
Video Coding ◽  
Video Transmission ◽  
Scalable Video Coding ◽  
Video Quality ◽  
Unequal Error Protection ◽  
Scalable Video ◽  
Coding System ◽  
Error Protection ◽  
Transmission Scheme ◽  
Rs Code

In this paper, we develop a novel robust scheme of two-dimensional unequal error protection (2-D UEP) for the H.264 scalable video coding (SVC) with a combined temporal and quality (SNR) scalability over packet-erasure channel. To avoid the waste of bits and obtain the best rate allocation, we propose a threshold-based UEP (TH-UEP) scheme. The proposed TH-UEP designs a predefined threshold according to the length of packet and the error correcting ability of RS code to achieve the best allocation. In addition, the proposed scheme also derives a simple mathematical model to reduce computational load of the best allocation. Experimental results demonstrate that the proposed H.264 video transmission scheme can provide strong robustness and video quality improvement when compared to other 2-D UEP schemes.

scholarly journals Adaptive Streaming of Scalable Videos over P2PTV

2015 ◽  
Vol 2015 ◽  
pp. 1-10 ◽  
Author(s):  
Youssef Lahbabi ◽  
El Hassan Ibn Elhaj ◽  
Ahmed Hammouch
Keyword(s):  
Video Coding ◽  
Quality Of Experience ◽  
Scalable Video Coding ◽  
Video Quality ◽  
The Other ◽  
Scalable Video ◽  
Adaptive Streaming ◽  
Network State ◽  
Adaptation Mechanisms

In this paper, we propose a new Scalable Video Coding (SVC) quality-adaptive peer-to-peer television (P2PTV) system executed at the peers and at the network. The quality adaptation mechanisms are developed as follows: on one hand, the Layer Level Initialization (LLI) is used for adapting the video quality with the static resources at the peers in order to avoid long startup times. On the other hand, the Layer Level Adjustment (LLA) is invoked periodically to adjust the SVC layer to the fluctuation of the network conditions with the aim of predicting the possible stalls before their occurrence. Our results demonstrate that our mechanisms allow quickly adapting the video quality to various system changes while providing best Quality of Experience (QoE) that matches current resources of the peer devices and instantaneous throughput available at the network state.

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