scholarly journals Social-Aware Cooperative Video Distribution via SVC Streaming Multicast

2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Lindong Zhao ◽  
Lei Wang ◽  
Xuguang Zhang ◽  
Bin Kang
Keyword(s):  
Game Theory ◽  
Scalable Video Coding ◽  
Group Formation ◽  
Video Quality ◽  
Salient Feature ◽  
Potential Game ◽  
High Definition ◽  
Video Traces ◽  
Multicast Scheme ◽  
Streaming Multicast

Scalable Video Coding (SVC) streaming multicast is considered as a promising solution to cope with video traffic overload and multicast channel differences. To solve the challenge of delivering high-definition SVC streaming over burst-loss prone channels, we propose a social-aware cooperative SVC streaming multicast scheme. The proposed scheme is the first attempt to enable D2D cooperation for SVC streaming multicast to conquer the burst-loss, and one salient feature of it is that it takes fully into account the hierarchical encoding structure of SVC in scheduling cooperation. By using our scheme, users form groups to share video packets among each other to restore incomplete enhancement layers. Specifically, a cooperative group formation method is designed to stimulate effective cooperation, based on coalitional game theory; and an optimal D2D links scheduling scheme is devised to maximize the total decoded enhancement layers, based on potential game theory. Extensive simulations using real video traces corroborate that the proposed scheme leads to a significant gain on the received video quality.

Region-of-Interest Processing and Coding Techniques

2013 ◽  
pp. 126-155 ◽  
Author(s):  
Dan Grois ◽  
Ofer Hadar
Keyword(s):  
Video Coding ◽  
Cell Phones ◽  
Scalable Video Coding ◽  
Region Of Interest ◽  
Scalable Video ◽  
Video Adaptation ◽  
End User ◽  
High Definition ◽  
Processing Power ◽  
Video Model

This chapter comprehensively covers the topic of the Region-of-Interest (ROI) processing and coding for multimedia applications. The variety of end-user devices with different capabilities, ranging from cell phones with small screens and restricted processing power to high-end PCs with high-definition displays, have stimulated significant interest in effective technologies for video adaptation. Therefore, the authors make a special emphasis on the ROI processing and coding with regard to the relatively new H.264/SVC (Scalable Video Coding) standard, which have introduced various scalability domains, such as spatial, temporal, and fidelity (SNR/quality) domains. The authors’ observations and conclusions are supported by a variety of experimental results, which are compared to the conventional Joint Scalable Video Model (JSVM).

High Definition Television (HDTV) and Video Surveillance

2014 ◽  
pp. 219-223
Keyword(s):  
Video Surveillance ◽  
Video Quality ◽  
Image Data ◽  
Good Choice ◽  
Frame Rate ◽  
Surveillance Video ◽  
High Definition ◽  
High Quality ◽  
High Definition Television ◽  
Quality Video

High definition television is becoming ever more popular, opening up the market to new high-definition technologies. Image quality and color fidelity have experienced improvements faster than ever. The video surveillance market has been affected by high definition television demand. Since video surveillance calls for large amounts of image data, high-quality video frame rates are generally compromised. However, a network camera that conforms to high definition television standards shows good performance in high frame rate, resolution, and color fidelity. High quality network cameras are a good choice for surveillance video quality.

GPU-Based MPEG-2 to Secure Scalable Video Transcoding

2014 ◽  
Vol 6 (2) ◽  
pp. 52-69
Author(s):  
Yueyun Shang ◽  
Dengpan Ye ◽  
Zhuo Wei ◽  
Yajuan Xie
Keyword(s):  
Graphics Processing Unit ◽  
Scalable Video Coding ◽  
Single Layer ◽  
Rate Distortion ◽  
Scalable Video ◽  
Processing Unit ◽  
Video Content ◽  
High Definition ◽  
Network Bandwidth ◽  
A Minor

Most of the high definition video content are still produced in a single-layer MPEG-2 format. Multiple-layers Scalable Video Coding (SVC) offers a minor penalty in rate-distortion efficiency when compared to single-layer coding MPEG-2. A scaled version of the original SVC bitstream can easily be extracted by dropping layers from the bitstream. This paper proposes a parallel transcoder from MPEG-2 to SVC video with Graphics Processing Unit (GPU), named PTSVC. The objective of the transcoder is to migrate MPEG-2 format video to SVC format video such that clients with different network bandwidth and terminal devices can seamlessly access video content. Meanwhile, the transcoded SVC videos are encrypted such that only authorized users can access corresponding SVC layers. Using various scalabilities SVC test sequences, experimental results on TM5 and JSVM indicate that PTSVC is a higher efficient transcoding system compared with previous systems and only causes little quality loss.

Applied Research of Assessment Methods on Video Quality

2012 ◽  
Vol 262 ◽  
pp. 157-162
Author(s):  
Chong Gu ◽  
Zhan Jun Si
Keyword(s):  
Video Processing ◽  
Evaluation Method ◽  
Comprehensive Evaluation ◽  
Rapid Development ◽  
Video Quality ◽  
Objective Evaluation ◽  
Video Data ◽  
Assessment System ◽  
Video Encoding ◽  
High Definition

With the rapid development of modern video technology, the range of video applications is increasing, such as online video conferencing, online classroom, online medical, etc. However, due to the quantity of video data is large, video has to be compressed and encoded appropriately, but the encoding process may cause some distortions on video quality. Therefore, how to evaluate the video quality efficiently and accurately is essential in the fields of video processing, video quality monitoring and multimedia video applications. In this article, subjective, and comprehensive evaluation method of video quality were introduced, a video quality assessment system was completed, four ITU recommended videos were encoded and evaluated by Degradation Category Rating (DCR) and Structural Similarity (SSIM) methods using five different formats. After that, comprehensive evaluations with weights were applied. Results show that data of all three evaluations have good consistency; H.264 is the best encoding method, followed by Xvid and wmv8; the higher the encoding bit rate is, the better the evaluations are, but comparing to 1000kbps, the subjective and objective evaluation scores of 1400kbps couldn’t improve obviously. The whole process could also evaluate new encodings methods, and is applicable for high-definition video, finally plays a significant role in promoting the video quality evaluation and video encoding.

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

scholarly journals Research on Spectrum Sharing Algorithm Based on Potential Game Theory

2018 ◽  
Vol 131 ◽  
pp. 1328-1335 ◽  
Author(s):  
Luo Shouzhi ◽  
Yu Lintao ◽  
Zhou Yuxuan
Keyword(s):  
Game Theory ◽  
Spectrum Sharing ◽  
Potential Game
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