Mobile Video Research Articles

Metamorphosis of the Stage: Elsinore and The Ring by Robert Lepage

Robert Lepage is one of the most acclaimed directors of contemporary theatre. His concept of a flexible, mechanized performance space (in Elsinore, Les Aiguilles et l’Opium, and The Ring), resembles Gordon Craig’s idea of using neutral, mobile, non-representational screens as a staging device. Lepage’s theatre is characterised by the scenographic machine, in the double meaning of actor and dispositive (that is, an agent effecting a disposition). Within this, involving video and a continuous metamorphosis of the scene, the actor is an essential mechanism. The scene integrates images and mechanisms of movement of the set in a single theatrical device in which man is still at the centre of the universe, as in the Renaissance; theatre, in a multimedia perspective, can thus revert to being a laboratory of integral culture, where art and technology rediscover their common etymology (tekné). I analyse two examples of his productions: Elsinore (1995) where a single actor impersonates all the characters of the tragedy, thanks to a metamorphic and mobile scenic solution and video projections, and The Ring cycle (2014–2016), where the set is a high-tech huge machine designed for the entire tetralogy, a work of mechanical engineering, rotating, bending and transforming into different shapes.

Media students using mobile phones in the Arabian Gulf to improve English writing and video production skills

Purpose A variety of alternate technology-enhanced teaching approaches are now available to university students to broaden their learning experiences and complement conventional face-to-face teaching. This paper aims to outline a study conducted at an English Medium Instruction (EMI) University in the Arabian Gulf where students were studying media. The study explored an innovative teaching approach that sought to enhance the students’ interaction with mobile phone applications as part of their learning experiences during the course. Design/methodology/approach The focus of the study was on enhancing the students’ English writing skills such as vocabulary, spelling and grammar and on improving their technical skills such as in video production. The study collected both quantitative and qualitative data. Findings The results indicated that mobile phone applications were helpful in improving students’ journalistic writing skills where they had a good level of proficiency in English, more so than students with poor English who are more dependent on traditional learning methods. Students also benefitted from mobile phone video production workshops that were intensive and creative. Based on the results of this study, it is recommended that courses and labs in media courses have skilled technicians that can train students in creative mobile phone video production while faculty members need to be trained and proactively encouraged to use mobile phones for teaching and learning purposes. Originality/value wBased on the results of this study, it is recommended that courses and labs in media courses have skilled technicians that can train students in creative mobile phone video production while faculty members need to be trained and proactively encouraged to use mobile phones for teaching and learning purposes.

Video teleconsultation services for persons with epilepsy during COVID-19 pandemic: An exploratory study from public tertiary care hospital in Southern India on feasibility, satisfaction, and effectiveness

PurposeDuring the COVID-19 pandemic, there is a large unmet need for follow-up services, particularly for chronic diseases such as epilepsy. Alternative methods to reach these people have become necessary. We assessed the feasibility, satisfaction, and effectiveness of video teleconsultation using mobile phones for managing persons with epilepsy (PWEs) on follow-up at a tertiary care center in the southern part of India. Patients and methodsWe included PWEs aged 18 years and over who have been evaluated in person within the past six months, with details available in electronic health records (EHRs), and advised regular follow-up after getting telephonic consent. We excluded those requiring emergency care and those seeking teleconsultation for new symptoms. Participants were sent a message in English and in the local language about the possibility of a video teleconsultation. If willing, they were informed about the date, time, and technical requirements such as smartphones, browsing facilities, etc. Feasibility and effectiveness were assessed. Satisfaction/acceptability was assessed using Telemedicine Satisfaction Questionnaire. ResultsFrom June 2020 to October 2020, we selected 336 PWEs after screening 1100 records, and we tried video teleconsultation in 141 (41.8%) PWEs. We achieved successful video connections in 95 (28.2%) and audio consultations in 46 (13.6%). The median duration for calling the participants, making successful connections, and consultation was 8 (5–14) min. The majority required two (47.4%) or three (32.6%) attempts. Sixty-five PWEs (68.4%) used caretaker’s mobile phones. We gave prescriptions to all, and 18 received new drugs. Out of 95 PWEs, 90% either ‘agreed’ or ‘strongly agreed’ on 12 out of 14 telemedicine satisfaction questions. ConclusionAlthough we need to make video teleconsultation more feasible, our synchronous mobile video teleconsultation model is an effective and acceptable method to follow up PWEs. This real-time model has the advantage that it does not require any mobile application to be downloaded and installed. Further studies are needed to evaluate methods to improve the reach of these services particularly to vulnerable groups of the population.

Face Detection Algorithm Based on Deep Residual Network

With the rapid development of artificial intelligence, face detection technology is widely used in our daily lives, such as mobile payment, video conferencing and personal identification. However, face the scenario while the face been blocking or crowding, the face detection accuracy would be greatly reduced. Therefore, in this paper, a high-precision face detection algorithm based on deep residual network has been proposed to solve this issue. Firstly, adding neural framework branches based on the Resnet-50 to improve the detection accuracy. Then import the soft-NMS method to enhance the robustness of algorithm. Experimental test on the public data set FDDB, the results indicate that the accuracy of this algorithm can reach 94.2% with good robustness, both accuracy and speed are better than the previous algorithm.

This Way Up: The Effectiveness of Mobile Vertical Video Marketing

The mobile environment of the 2020s is experiencing a vertical video revolution. The portrait, or vertical, screen format is replacing the traditional landscape, or horizontal, format to become the default for mobile video production and consumption. With the increasing use of vertical videos, an important, yet unanswered, question is how mobile users respond to this format. Therefore, we examine the effectiveness of mobile vertical versus horizontal video advertisements in terms of consumer interest, engagement, and processing fluency, as well as the underlying mechanism of the effort of watching the video ad on a smartphone in three studies. In a large-scale field study, we demonstrate that mobile vertical video ads increase consumer interest and engagement compared to horizontal video ads. In two experimental studies, we further show that mobile users process vertical video ads more fluently than horizontal video ads. Exploring the underlying mechanism for this effect, we find that mobile users experience less effort when watching a video ad vertically (vs. horizontally) on the smartphone in full-screen, as watching a vertical video does not require turning the phone. Importantly, we find that mobile users' age moderates this indirect effect, as younger mobile users (Generation Z) process mobile vertical video ads more fluently than older Generations X and Y. This article closes with implications for theory and suggestions for mobile marketers.

Transmitter Diversity Gain Technique Aided Irregular Channel Coding for Mobile Video Transmission.

The reliable transmission of multimedia information that is coded through highly compression efficient encoders is a challenging task. This article presents the iterative convergence performance of IrRegular Convolutional Codes (IRCCs) with the aid of the multidimensional Sphere Packing (SP) modulation assisted Differential Space Time Spreading Codes (IRCC-SP-DSTS) scheme for the transmission of H.264/Advanced Video Coding (AVC) compressed video coded stream. In this article, three different regular and irregular error protection schemes are presented. In the presented Regular Error Protection (REP) scheme, all of the partitions of the video sequence are regular error protected with a rate of 3/4 IRCC. In Irregular Error Protection scheme-1 (IREP-1) the H.264/AVC partitions are prioritized as A, B & C, respectively. Whereas, in Irregular Error Protection scheme-2 (IREP-2), the H.264/AVC partitions are prioritized as B, A, and C, respectively. The performance of the iterative paradigm of an inner IRCC and outer Rate-1 Precoder is analyzed by the EXtrinsic Information Transfer (EXIT) Chart and the Quality of Experience (QoE) performance of the proposed mechanism is evaluated using the Bit Error Rate (BER) metric and Peak Signal to Noise Ratio (PSNR)-based objective quality metric. More specifically, it is concluded that the proposed IREP-2 scheme exhibits a gain of 1 dB with reference to the IREP-1 and gain of 0.6 dB with reference to the REP scheme over the PSNR degradation of 1 dB.

Improved Transmission In 5G Wireless Network Communication With Tail Theft Concept

5G technique has inspired a wide collection of high band width applications on advanced mobile phones, for example, video spilling and content-rich web browsing. Although having those applications portable is very engaging, high information rate transmission likewise presents enormous need for power. It has been uncovered that the tail impact in 5G radio activity brings about huge vitality channel on advanced mobile phones. Recent quick dormancy method can be used to expel tails be that as it may, without care, can decrease consumer’s experience. Implementation of Tail Theft in the Network Simulator with a model for computing vitality utilization that depends on parameters estimated from cell phones. Already when the applications are running in the background there is a delay for a couple of seconds acceptable, because of this reason the energy can be saved in large amount about 62 percentage and 75 percentage, then 71 percentage. The amplified delays decrease the state switches number to be equal in present networks.

MEC-assisted flexible transcoding strategy for adaptive bitrate video streaming in small cell networks

Adaptive bitrate video streaming (ABR) has become a critical technique for mobile video streaming to cope with time-varying network conditions and different user preferences. However, there are still many problems in achieving high-quality ABR video streaming over cellular networks. Mobile Edge Computing (MEC) is a promising paradigm to overcome the above problems by providing video transcoding capability and caching the ABR video streaming within the radio access network (RAN). In this paper, we propose a flexible transcoding strategy to provide viewers with low-latency video streaming services in the MEC networks under the limited storage, computing, and spectrum resources. According to the information collected from users, the MEC server acts as a controlling component to adjust the transcoding strategy flexibly based on optimizing the video caching placement strategy. Specifically, we cache the proper bitrate version of the video segments at the edge servers and select the appropriate bitrate version of the video segments to perform transcoding under jointly considering access control, resource allocation, and user preferences. We formulate this problem as a nonconvex optimization and mixed combinatorial problem. Moreover, the simulation results indicate that our proposed algorithm can ensure a low-latency viewing experience for users.

The flashing light bulb: A quantitative introduction to the theory of alternating current

In this column, several previous articles focused on mechanics experiments that can be analyzed using a mobile video motion analysis. However, the use of this method is also possible in completely different areas, which is the focus of this article.

Developing a mobile video recording studio for dentistry.

Developing a mobile video recording studio for dentistry.

Effect of short video ads on sales through social media: the role of advertisement content generators

With the rapid development of e-commerce and social media in China, user-generated short video ads through social media have become very popular. However, the unique elements and phenomena for user-generated short video ads through mobile platforms have not yet been investigated. Therefore, a theoretical framework is proposed to explain the effect of user-generated social media short video ads on product sales from the perspective of advertisement sociability and vividness attributes, especially considering the moderation effect of advertisement content generators, including influencers, sellers and buyers. An empirical study using data from the Douyin platform and the Taobao e-commerce platform was conducted using dynamic panel models. The results indicate that the number of comments as one of the advertisement sociability attributes and female vividness and music vividness as two of the advertisement vividness attributes have consistently positive effects on product sales. The moderating effects of the influencer and the seller are positive for the effect of sociability on product sales, whereas the moderating effect of the buyer is positive for the effect of vividness on product sales. Thus, the best strategy to promote products through user-generated short video ads on mobile short video sharing platforms is for buyers to publish short video ads with music and a female or both a male and a female together; moreover, having a large number of comments increases product sales.

The Relationship Between the Use of Mobile Social Media and Subjective Well-Being: The Mediating Effect of Boredom Proneness.

ObjectiveThis study took users of short-form mobile videos as research participants to explore the role of their boredom proneness in mediating the relationship between the use of mobile social media (UMSM) and subjective well-being (SWB).MethodsA sample of 656 users was evaluated by the Problematic Mobile Social Media Usage Assessment Questionnaire, General Well-Being Schedule, and Boredom Proneness Scale.ResultsFirstly, significant interactions were found between monthly living expenses and the UMSM of the participants, which were recognized as factors affecting SWB. Secondly, the level of living expenses had little effect on the high-level and low-level groups of the UMSM but imposed a significant impact on the medium-level group. Thirdly, the UMSM showed an influence that could positively predict boredom; both the UMSM and boredom demonstrated a negative predictive effect on SWB.ConclusionThe findings indicate that the inappropriate use of mobile social media negatively affects users’ subjective well-being; boredom partially mediated the relationship between the use of mobile social media and SWB.

PrivacyEye: A Privacy-Preserving and Computationally Efficient Deep Learning-Based Mobile Video Analytics System

Large volumes of video data recorded by the increasing mobile devices and embedded sensors can be leveraged to answer queries of our lives, physical world and our evolving society. Especially, the rapid development of convolutional neural networks (CNNs) in the past few years offers the great advantage for multiple tasks in video analysis. However, adopting running CNNs directly on mobile devices and embedded sensors for video analytics brings heavy burden due to their limited capacity, especially for learning a large volume of data. A promising approach is to outsource the computation-intensive part of CNN to cloud. However, the reveal of data to cloud may cause privacy leakage. In addition, the cloud-assisted approach may also bring some communication efficiency challenges for large volume of data. To address both privacy and efficiency issues, we design a privacy-preserving and computationally efficient framework for mobile video analytics. To protect the private information, we split the CNN model into two subnetworks, and first part is used as a feature extractor deployed in the mobile side and the second part is utilized as a classifier deployed in the cloud side. A specific-designed adversarial training process is adopted in order to extract features for normal task classification while hiding the features for sensitive task. In addition, to improve video process efficiency, we design a two-stage framework. The first stage is to extract key frames and necessary intermediate frames, while skipping redundant ones. The second stage is to extract the features of key frames by CNN-based feature extractor but apply optical-flow-based feature propagation algorithm to obtain the features of intermediate frames. Extensive experiments demonstrate our proposed system PrivacyEye can effectively protect private information while keep the accuracy of the normal tasks with less than 2 percent drop, and it saves up to 82.9 percent execution time and 78.8 percent energy consumption.

RETRACTED: Application and development prospects of 5°G communication technology in aerobics sports

A sport in which a single connection hard with the competition aerobics and gymnastics elements competitive. This sport is for young people to compete with adult people while maintaining the artistry and fun of bodybuilding and generates a sport that requires gymnastics so that less risk the development of mobile communication technology from 4 G to 5 G. Related to the previous group, 5 G is, the auto-pilot is postponed to provide risk facilities as an actual AI handheld program and remote control functions. It is a Multi-access Edge (MAE) necessary technological calculations are closer latency-critical services. 5 G user support to ensure ultra-low latency by allocating computing resources at the network's edge is centralized. Some explode overload of computing resources so local, can place the traffic caused, there are loopholes multi-access edge computing architecture. 5 G, the media provider, is also a leading that has been studied, Amdocs's software and Services Company, according to its ovum in the communication company, to change the stadium, the sports experience of the home fans. To provide a new multi-screen pay-tv service to watch the 5 G plan, home sports events and 88% of the operator's knowledge. 5 G is to increase the range of content available to a mobile audience, beyond the consumer range of electronic devices and services. To improve mobile TV and video quality describes concentrated cloud computing and resources of the multi-source code. Our goal is, is referred to as a communication architecture that is a hybrid improvement that combines the advantages of this- is to propose a cloud computing access edge. The performance of the proposed network architecture is evaluated using a discrete event simulation model. Finally, the various advantages and disadvantages of network architecture are discussed.

RETRACTED: Research on the strategy of mobile short video in product sales based on 5G network and embedded system

Mobile short video-based product sales sharing sites like YouTube and Tudor have many established user content for creating and distributing shares. The increasing number of mobile devices for product sales leads to the upcoming new 5G technology roadmap for embedded systems and 5G network connectivity. As these are the main sources of 5G information and online activities for consumers, mobile phone short films are rapidly being replaced by embedded systems. As the demand for more embedded system devices and applications continues to grow, supported bandwidth is also essential to meet this growing connection demand. The existing system does not allocate the product sales data upload bandwidth size. The system proposed here focuses on user upload bandwidth allocation, one of the basic resources of a short video sharing system with product details. Its allocation upload bandwidth Recurrent Neural Network (RNN) algorithm is proposed in a centralized or decentralized way and evaluated for balancing widely used strategies (equal allocation) and a mobile short video. Embedded systems are responsible for running professional product sales and control applications consistently and predictably. Development while using the microprocessor is also important. It increases the need to process product sales to handle the bandwidth, latency requirements, product sales data and data generated from multiple connected devices. It's a big challenge for the industry to data and data capabilities.

Waking up the bear: dance/movement therapy group model with depressed adult patients during Covid-19 2020

ABSTRACT This article introduces a dance movement therapy group model used with adults diagnosed with depression and its adaptation to the conditions imposed by the Covid-19 pandemic that helped preserve continuity of the therapeutic group and the therapeutic relationships. The model was initially researched as a pilot project and was offered as an option in the available treatment plan. The evaluation indicates that the DMT group model increased patients’ motivation to play, which then led to an increased experience of affective vitality and alleviated symptoms of depression. All participants in the groups were recruited from psychiatric units and an outpatient clinic. Because of the pandemic, the meeting spaces moved to virtual spaces allowed by mobile phone videos, online therapy and the outdoors. Work in the open air inspired new interventions that were welcomed by the groups.

Research on the Influence of New Media Technology on Internet Short Video Content Production under Artificial Intelligence Background

With the rapid development of the Internet and smart phone technology, a large number of short videos are shared through social platforms. Therefore, video content analysis is a very important and popular work in machine learning and artificial intelligence currently. However, it is very difficult to analyze all aspects of video content originally produced by large‐scale users. How to screen out bad and illegal content from short videos published by a large number of users, select high‐quality videos to share with other users, and improve the quality of video on the distribution platform of the entire user is a top priority. Based on this background, this paper focuses on optimizing video auditing to provide basic features for algorithm judgment, supporting original content and increasing the distribution of new content, and strengthening manual intervention combining algorithm recommendation with manual recommendation. Four major aspects of the artificial training algorithm model discuss the optimization effect of artificial intelligence on the algorithm in order to provide some guidance for the sustainable and healthy development of mobile short video.

The use of teledentistry in pediatric dental practice amidst COVID-19 lockdown: A literature review

The recent spread of coronavirus disease (COVID-19) has caused widespread public health concerns. All the countries of the world are taking necessary measures to prevent the community spread of this disease. In doing so, many countries have imposed lockdowns to restrict the movements of its citizens within the country. Realizing the severity of outcomes associated with this disease, dentists who were estimated to be at high risk of acquiring the disease rendered only emergency treatments to their patients. However, due to nationwide lockdown, it was difficult for the patients to visit the clinics for routine check-ups. This was overcome by the recent advancements in the field of technology. Today, in the age of smartphones, clinical data exchange was facilitated with the help of mobile cameras and video conferencing applications. These types of virtual consultations formed the basis of teledentistry. Teledentistry is a combination of telecommunications and dentistry, involving the exchange of clinical information and images for dental consultation and treatment planning. This technology served as a boon for the pediatric dentists to manage dental health concerns of children during the lockdown period. This review discusses about teledentistry and its applications in pediatric dental practice among the COVID-19 lockdown.

Development Overview of Augmented Reality Navigation

At present, with the increasing computing power of mobile phones, the wide application of AR technology in mobile phones has been realized. AR technology is not only used in mobile games, medical, video entertainment and other fields, but also become more and more popular in the perspective of navigation. This paper will firstly describe the development history of AR and related background knowledge, and focus on the application of AR technology in the field of navigation. Finally, it will discuss the development prospects and possible difficulties of AR+Navigation.

Unity over Unison: Creating AntigoneNOW in Lockdown:

Devised from Sophocles’ Antigone, in Seamus Heaney’s translation, a cast of twelve women––each in isolation, each playing Antigone––filmed themselves on their mobile phones, iPads, and video cameras, together forming a chorus that portrays Antigone’s defiance of the law forbidding her to bury the body of her dead brother. During 2020–21, AntigoneNOW screened at UC Davis, Cairo International Festival of Experimental Theatre, Northwestern University’s Wirtz Center for the Performing Arts, London School of Sound, Michael Chekhov Association USA, Valparaiso University, Louisiana State University, SPE Media Festival and The International Online Theatre Festival 2021. In rehearsals, we worked physically through sensations of the body. Since we were not there when the actors recorded the scenes, they had to start thinking about themselves and their bodies as a place in conversation with the actual material environment around them. Place is fragmented and dispersed across the world: me in my study in London, Margaret in her home in Sacramento, Roger in Chicago, and the actors in their countries and time zones.