Perceptual Video Quality Analysis for HEVC in Packet Loss Environment

2014 ◽  
Author(s):  
Bhupender Kumar ◽  
Shekhar Madnani ◽  
Advait Mogre ◽  
Muneesh Sharma ◽  
Shailesh Kumar
Keyword(s):  
Packet Loss ◽  
Video Quality ◽  
Quality Analysis ◽  
Perceptual Video Quality

scholarly journals Perceptual Video Quality Prediction Emphasizing Chroma Distortions

2021 ◽  
Vol 30 ◽  
pp. 1408-1422
Author(s):  
Li-Heng Chen ◽  
Christos G. Bampis ◽  
Zhi Li ◽  
Joel Sole ◽  
Alan C. Bovik
Keyword(s):  
Video Quality ◽  
Quality Prediction ◽  
Perceptual Video Quality

Perceptual video quality assessment for adaptive streaming encoding

2015 ◽  
Author(s):  
Estevao C. Monteiro ◽  
Ricardo E. P. Scholz ◽  
Carlos A. G. Ferraz ◽  
Tsang I. Ren ◽  
Roberto S. M. Barros
Keyword(s):  
Quality Assessment ◽  
Video Quality ◽  
Video Quality Assessment ◽  
Adaptive Streaming ◽  
Perceptual Video Quality

Evaluation of quality and reliability of musculoskeletal ultrasound videos on YouTube

2021 ◽  
Author(s):  
Nihan Cüzdan ◽  
İpek Türk
Keyword(s):  
Video Quality ◽  
Musculoskeletal Ultrasound ◽  
Quality Analysis ◽  
Competency Assessment ◽  
Exclusion Criteria ◽  
Educational Value ◽  
European League Against Rheumatism ◽  
Ultrasound Findings ◽  
Training Programmes

ABSTRACT Objectives To evaluate musculoskeletal ultrasound (MSUS) video contents on YouTube, regarding their quality, reliability, and educational value. Method The first three pages for the keywords ‘Musculoskeletal Ultrasound’, ‘joint ultrasound’, and ‘articular ultrasound’ were searched through YouTube website. The quality of the videos was assessed according to the European League Against Rheumatism (EULAR) Guidelines and EULAR Competency Assessment in MSUS. The reliability was evaluated with modified DISCERN tool. Results After the exclusion criteria applied, 58 videos were evaluated. The video quality analysis showed that probe holding (68.9%; median: 5, range: 0–5), scanning technique (63.8%; median: 4, range: 0–5), identification of anatomic structures (72.4%; median: 4, range: 0–5), and description of ultrasound findings (65.5%; median: 4, range: 0–5) were found to be sufficient, whereas ultrasound machine settings adjustments (1.7%; median: 0, range: 0–4) and final ultrasound diagnosis (12.1%; median: 0, range: 0–5) were insufficient. The total median value of the modified DISCERN scale was 2 (percentile: 2–2, range: 0–3). Conclusion MSUS video contents on YouTube are insufficient for educational purposes on MSUS training. There is a need for affordable, easily accessed, standardized, and peer-reviewed online training programmes on MSUS and MSUS-guided injections.

Quality Analysis of VoIP in Real-Time Interactive Systems over Lossy Networks

2015 ◽  
pp. 261-274
Author(s):  
Maha Z. Mouasher ◽  
Ala' F. Khalifeh
Keyword(s):  
Real Time ◽  
Packet Loss ◽  
Interactive Systems ◽  
Quality Analysis ◽  
The Internet ◽  
Test Bed ◽  
Lossy Networks ◽  
Packet Losses ◽  
Perceptual Evaluation ◽  
Voice Packets

Voice over Internet Protocol (VoIP) systems have been spreading massively during the recent years. However, many challenges are still facing this technology among which is the lossy behavior and the uncontrolled network impairments of the Internet. In this chapter, the authors design and implement a VoIP test-bed utilizing the Adobe Real-Time Media Flow Protocol (RTMFP) that can be used for many voice interactive applications. The test-bed was used to study the effect of changing some voice parameters, mainly the encoding rate and the number of frames per packet as function of the network packet loss. Several experiments were conducted on several voice files over different packet losses, concluding in the best combination of parameters in low, moderate, and high packet loss conditions to improve the performance of voice packets measured by the Perceptual Evaluation of Speech Quality (PESQ) values.

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.

Analysis and Implementation of Raptor Codes for Video Multicast

2013 ◽  
Vol 347-350 ◽  
pp. 3845-3849
Author(s):  
Geng Wei ◽  
Cong Juan Li ◽  
Yu Dong Zhang
Keyword(s):  
Packet Loss ◽  
Video Transmission ◽  
System Simulation ◽  
Video Quality ◽  
Transmission System ◽  
Ip Multicast ◽  
Raptor Codes ◽  
Video Multicast ◽  
Simulation Results

Packet loss is unavoidable in IP multicast using the UDP protocol that will serious influence video quality. In this paper we use the Raptor codes for video multicast to improve the video quality. Firstly, the principle of Raptor codes is analyzed in detail. Then the Raptor codes is implemented and transplanted in the video transmission system. Simulation results show that the video transmission system with Raptor FEC works which can overcome the packet loss effectively and improve the playback quality significantly.

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