vSkyConf: Cloud-assisted Multi-party Mobile Video Conferencing

As an important application in the busy world today, mobile video conferencing facilitates virtual face-to-face communication with friends, families and colleagues, via their mobile devices on the move. However, how to provision high-quality, multi-party video conferencing experiences over mobile devices is still an open challenge. The fundamental reason behind is the lack of computation and communication capacities on the mobile devices, to scale to large conferencing sessions. In this paper, we present vSkyConf, a cloud-assisted mobile video conferencing system to fundamentally improve the quality and scale of multi-party mobile video conferencing. By novelly employing a surrogate virtual machine in the cloud for each mobile user, we allow fully scalable communication among the conference participants via their surrogates, rather than directly. The surrogates exchange conferencing streams among each other, transcode the streams to the most appropriate bit rates, and buffer the streams for the most efficient delivery to the mobile recipients. A fully decentralized, optimal algorithm is designed to decide the best paths of streams and the most suitable surrogates for video transcoding along the paths, such that the limited bandwidth is fully utilized to deliver streams of the highest possible quality to the mobile recipients. We also carefully tailor a buffering mechanism on each surrogate to cooperate with optimal stream distribution. We have implemented vSkyConf based on Amazon EC2 and verified the excellent performance of our design, as compared to the widely adopted unicast solutions.Comment: 10 page

Shared teaching with multimedia‐enhanced video‐conferencing

Video‐conferencing was used to share a short series of lectures between several universities. A high bandwidth network (155Mbit/s) permitted near broadcast TV quality video to be combined with fully mixed, high‐quality audio. The lectures were supported by visual aids made available using Microsoft NetMeeting to provide multipoint, shared applications. NetMeeting is shown to be a stable and effective platform for distributing multimedia material at a much higher resolution than is possible using the video signals common in most video‐conference lectures, although care must be taken when constructing animated material

VCD: A Video Conferencing Dataset for Video Compression

Commonly used datasets for evaluating video codecs are all very high quality and not representative of video typically used in video conferencing scenarios. We present the Video Conferencing Dataset (VCD) for evaluating video codecs for real-time communication, the first such dataset focused on video conferencing. VCD includes a wide variety of camera qualities and spatial and temporal information. It includes both desktop and mobile scenarios and two types of video background processing. We report the compression efficiency of H.264, H.265, H.266, and AV1 in low-delay settings on VCD and compare it with the non-video conferencing datasets UVC, MLC-JVC, and HEVC. The results show the source quality and the scenarios have a significant effect on the compression efficiency of all the codecs. VCD enables the evaluation and tuning of codecs for this important scenario. The VCD is publicly available as an open-source dataset at https://github.com/microsoft/VCD

A low-complexity parallel-friendly rate control algorithm for ultra-low delay high definition video coding

Ultra-low delay high definition (HD) video coding applications such as video conferencing demand, first, low-complexity video encoders able to support multi-core framework for parallel processing and, second, rate control algorithms (RCAs) for successful video content delivering under delay constraints. In this paper a low-complexity parallel-friendly RCA is proposed for HD video conferencing. Specifically, it has been implemented on an optimized H.264/Scalable Video Coding (SVC) encoder, providing excellent performance in terms of buffer control, while achieving acceptable quality of compressed video under the imposed delay constraints

Learned Quality Enhancement via Multi-Frame Priors for HEVC Compliant Low-Delay Applications

Networked video applications, e.g., video conferencing, often suffer from poor visual quality due to unexpected network fluctuation and limited bandwidth. In this paper, we have developed a Quality Enhancement Network (QENet) to reduce the video compression artifacts, leveraging the spatial and temporal priors generated by respective multi-scale convolutions spatially and warped temporal predictions in a recurrent fashion temporally. We have integrated this QENet as a standard-alone post-processing subsystem to the High Efficiency Video Coding (HEVC) compliant decoder. Experimental results show that our QENet demonstrates the state-of-the-art performance against default in-loop filters in HEVC and other deep learning based methods with noticeable objective gains in Peak-Signal-to-Noise Ratio (PSNR) and subjective gains visually

High School of Online Cello Playing: A Quantitative Analysis of Online Music Instruction via Video Conferencing Application

abstract: Video conferencing applications, such as Skype, have long been used in classroom settings. Although musicians have been conducting online lessons for years, and institutions such as the Berklee School of Music and the Manhattan School of Music offer online music classes, scholarly research concerning online video conferencing music lessons is limited. Most studies of video conferencing lessons are based on subjective answers, making it difficult to yield conclusive results. As such, the only basis to evaluate the efficacy of video conferencing lessons are those from opinions. This study offers quantitative research on online video conferencing lessons. Between September and December 2017, 22 cello students from Muscatine High School received weekly private online lessons. Students filled out surveys using a Likert scale to rate these lessons and how they felt video and audio quality affected them. Students also received in-person lessons during October 23 or 24 to compare this experience to online lessons. The responses collected throughout the semester were compiled and sorted to reveal data trends. Using information derived from the data, this study concludes that online video conferencing lessons were less productive than in-person lessons but were still effective. In addition, average lesson ratings improved significantly after meeting in-person. In conclusion, this study found that online private lessons are feasible for high school students.Dissertation/ThesisDoctoral Dissertation Music 201

Technology - Empowering the Educational Researcher through Remote Observation

Observing students using computers often occurs through three methods: user-lab, on-site and remote data logging. Whilst each of these have their advantages with the new type of students such as elearners, an alternative method called web-conferencing remote observation is presented for observing students at a distance. This method collects both audio and video data of the observer through webcams and voice/video conversations. Students are able to interact with the software through application sharing facilities. Further, it allows both quantitative and qualitative data to be collected. This proof-of-concept method is presented here where it has been used in two previous studies using Windows Messenger and Netviewer. Although, video quality is not high the quality is sufficient for observational data

The Use of Compressed Video for Distance Learning: From Middle School to Senior Citizens

A review of a ten-year project using ISDN Compressed Video to connect middle and high schools around the world for monthly explorations of a variety of topics ranging from music concerts to joint science experiments. At the other extreme, the use of webcams over the Internet in Skype, ooVoo, Logitech, and Google Video to make free video conferencing calls by limited income senior citizens in a Quality of Life project illustrates the distance compressed video has come. Finally, the use of video conferencing in Elluminate in Blackboard for graduate online courses is described. Participants will be invited to use their desktop units to explore some of these options and video clips during the session

Expanding Qualitative Research Interviewing Strategies: Zoom Video Communications

The proliferation of new video conferencing tools offers unique data generation opportunities for qualitative researchers. While in-person interviews were the mainstay of data generation in qualitative studies, video conferencing programs, such as Zoom Video Communications Inc. (Zoom), provide researchers with a cost-effective and convenient alternative to in-person interviews. The uses and advantages of face-to-face interviewing are well documented; however, utilizing video conferencing as a method of data generation has not been well examined. The purpose of this paper is to examine the specific attributes of Zoom that contribute to high quality and in-depth qualitative interviews when in person interviewing is not feasible. While video conferencing was developed to facilitate long-distance or international communication, enhance collaborations and reduce travel costs for business these same features can be extended to qualitative research interviews. Overall, participants reported that Zoom video conferencing was a positive experience. They identified strengths of this approach such as: (1) convenience and ease of use, (2) enhanced personal interface to discuss personal topics (e.g., parenting), (3) accessibility (i.e., phone, tablet, and computer), (4) time-saving with no travel requirements to participate in the research and therefore more time available for their family. Video conferencing software economically supports research aimed at large numbers of participants and diverse and geographically dispersed populations