Investigation of Video Quality Dimensions for Different Type of Video Content

2018 ◽  
Author(s):  
Falk Schiffner ◽  
Bondarenko Vladimir ◽  
Moller Sebastian
Keyword(s):  
Video Quality ◽  
Video Content ◽  
Quality Dimensions

Analyzing the Quality of Aesthetic Surgery Procedure Videos on TikTok

2021 ◽  
Author(s):  
Anjali Om ◽  
Bobby Ijeoma ◽  
Sara Kebede ◽  
Albert Losken
Keyword(s):  
Social Media ◽  
Breast Augmentation ◽  
Cosmetic Surgery ◽  
Video Quality ◽  
Aesthetic Surgery ◽  
Video Content ◽  
Medical Providers ◽  
Cosmetic Procedure ◽  
Different Content

Abstract Background TikTok is one of the most popular and fastest growing social media apps in the world. Previous studies have analyzed the quality of patient education information on older video platforms, but the quality of plastic and cosmetic surgery videos on TikTok has not yet been determined. Objectives To analyze the source and quality of certain cosmetic procedure videos on TikTok. Methods The TikTok mobile application was queried for content related to two popular face procedures (rhinoplasty and blepharoplasty) and two body procedures (breast augmentation and abdominoplasty). Two independent reviewers analyzed video content according to the DISCERN scale, a validated, objective criteria that assesses the quality of information on a scale of 1-5. Quality scores were compared between videos produced by medical and nonmedical creators and between different content categories. Results There were 4.8 billion views and 76.2 million likes across included videos. Videos were created by MDs (56%) and laypersons (44%). Overall average DISCERN score out of 5 corresponded to very poor video quality for rhinoplasty (1.55), blepharoplasty (1.44), breast augmentation (1.25) and abdominoplasty (1.29). DISCERN scores were significantly higher among videos produced by MDs than by laypersons for all surgeries. Comedy videos consistently had the lowest average DISCERN scores, while educational videos had the highest. Conclusions It is increasingly important that medical professionals understand the possibility of patient misinformation in the age of social media. We encourage medical providers to be involved in creating quality information on TikTok and educate patients about misinformation to best support health literacy.

scholarly journals Video Error-Resilience Research Based on Error-Resilient Screen Content

2020 ◽  
Vol 10 (14) ◽  
pp. 4923
Author(s):  
Zhe Liu ◽  
He Chen ◽  
Songlin Sun
Keyword(s):  
Video Transmission ◽  
Video Quality ◽  
Region Of Interest ◽  
Error Resilience ◽  
Transmission Error ◽  
Video Frame ◽  
Video Content ◽  
Selection Mechanism ◽  
Error Resilient ◽  
Screen Content

In order to make video transmission more stable, various error-resilient mechanisms are proposed on video coding in the literature. However, the redundancy mechanism behind classical redundant coding algorithms is relatively simple and is not suitable for the network environment and video content in the context of screen content sequence with multiple abrupt frames and still frames. Motivated by this, a frame-level coding selection mechanism is proposed in this paper for the error-resilience transmission of screen content, where additional code stream or redundant information is considered to improve error-resilient performance with redundant coding and acceptable video quality is obtained in the case of frame transmission error. In addition, selective allocation redundancy is conducted to take the importance of the video frame ROI (region of interest) area into account in the co-encoding process. As a result, the redundancy insertion efficiency and the reliability are improved in return. The corresponding experiments validate the effectiveness of the schemes proposed in this paper.

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.

scholarly journals Designing and evaluating a system for the effective analysis of sign language video content for the improvement of video quality

2021 ◽  
Author(s):  
Joseph Moscatiello
Keyword(s):  
User Study ◽  
Video Quality ◽  
Video Content ◽  
Visual Channel ◽  
Communication Services ◽  
Signed Language ◽  
Technical Factors ◽  
Set Up ◽  
Video Blogging ◽  
Effective Analysis

Signed Language communicators use video communication services as they can be used to relay manual communication. One aspect of successful video blogging (vlogging) is being able to communicate a message clearly. Visual clarity is important as manual communication relies on the visual channel exclusively for processing and can become compromised if certain elements in the video, such as the lighting or background, are not set up correctly. A tool, termed the Vlog Analysis and Suggestion Tool (VAST) has been developed to assess Signed Language, talking head style, video and provide feedback to users based on the quality. Quality, in this work, is based on three technical factors: (1) lighting; (2) signing space; and (3) background. Results from a user study on VAST indicate that the tool is easy to use, helpful to users for determining video quality, and the technical factors assessed by the system are important to users.

The Research of Video Quality Evaluating Based on MATLAB

2015 ◽  
Vol 740 ◽  
pp. 579-583
Author(s):  
Shan Chen ◽  
Yu Jie Yao
Keyword(s):  
Weight Control ◽  
Control Function ◽  
Evaluation Model ◽  
Video Quality ◽  
Test Results ◽  
Video Content ◽  
Subjective Test ◽  
Variable Weight ◽  
Evaluation Models ◽  
Evaluating Method

Video quality impairments mainly caused by noisy transmit channel. No-Reference evaluating method is an important way to predict the video quality due to without any other loader to the transmit channel. Aiming at improve the accuracy and effectiveness of No-Reference video quality evaluating model, a novel variable-weight evaluating model is proposed. Motion intensity is introduced to qualify the variation of video content. And a weight control function is obtained based on the statistic studying method. Then the weight of clearness and smoothness can be adjusted in real time through the weight control function. The variable-weight evaluating model takes into the human perceptual properties. The experimental results show that the variable-weight evaluation model outperforms the existing evaluation models and achieves high correlation with the subjective test results.

Design and Implementation of OTT Services Based on IPTV STB

2013 ◽  
Vol 411-414 ◽  
pp. 985-988
Author(s):  
Zhi Qiang Xia ◽  
Li Ming Ma ◽  
San Xing Cao
Keyword(s):  
Quality Assurance ◽  
Video Quality ◽  
Video Content ◽  
Live Video ◽  
Management Software ◽  
Design And Implementation ◽  
Set Top Box ◽  
Industry Standards ◽  
Interactive Experience

Currently, the main disadvantages of OTT services are live video delay and video quality assurance while OTT services have many interactive contents. In contrast, IPTV reception effect is better however policy restrictions, incomplete standards and lack of content are the IPTV deficiencies. Therefore, this paper proposes a method of implanting OTT services into IPTV system. The design and implementation maintain the intrinsic IPTV services and ImageMagick is used to present OTT services in IPTV set-top box (STB) according to the current IPTV industry standards. Meanwhile, the services can be designed through the management software. Finally, the OTT services based on IPTV STB can enrich IPTV video content and enhance user interactive experience.

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