Internet Video Research Articles

Streamed Video Reconstruction for Firefox Browser Forensics

In criminal investigations, the digital evidence extracted from social media may provide exceptional support. Reviewing the history or cache of the web browser may provide a valuable insight into the activity of the suspect. The growing popularity of Internet video streaming creates a risk of this technology misuse. There are a few published research on video reconstruction forensics on the Chrome browser. There is a difference in the methods applied to reconstruct cached video on Chrome from the methods applied to Firefox or any browser. Our primary focus in this research is to examine the forensic procedures required to reconstruct cached video stream data using Twitter and YouTube on the Firefox browser. Some work has been done to reconstruct a cached video on the Chrome browser, but we need more work on the rest of the browsers, most notably the Firefox browser used in this research. Both examination strategies and contemplations displayed are approved and suitable for the forensic study of various streaming platforms as well as the web browser caches.

Similarity-evaluation-based evolving of flexible neural trees for imbalanced classification

A flexible neural tree (FNT) is a special and effective kind of artificial neural network that can search optimal network structures using tree structure evolving algorithms, leading to its high performance in many real classification and prediction problems. However, the standard FNT model does not take into account tree structure similarities in its evolving process. This may result to a rapid and significant decrease of its tree structure population. Standard FNT also suffers from imbalanced data. In this study, we propose a new similarity evaluation method for FNT (SEFNT) to keep the population diversity and deal with the imbalanced data. The main idea of SEFNT is twofold. First, the difference between two nodes is introduced for similarity measurement. Second, the node position and height of trees are also taken into account for accurate tree structure distance measurement. SEFNT uses imbalanced fitness function to control its evolving procedure to deal with imbalanced problems. We compare SEFNT with 10 imbalanced methods on 46 KEEL datasets and 10 UCI datasets. The experimental results show that our approach can significantly improve the classification performance of FNT. In the comparisons with other algorithms, SEFNT shows significantly better performance. We also apply the proposed method to a practical imbalanced classification problem, that is, Internet video traffic identification. The results imply that our method is effective in dealing with practical problems.

Structure‐PoseNet for identification of dense dynamic displacement and three‐dimensional poses of structures using a monocular camera

AbstractThis study proposesStructure‐PoseNet to recognize three‐dimensional (3D) poses and dense dynamic displacement of a structure with known geometry using a monocular camera. The 3D poses are employed to calculate the structural displacement of both visible and invisible elements in videos. The proposed framework consists of two consecutive deep learning modules, CompNet and ParaNet, to provide semantic image segmentation and extract pose parameters, respectively. CompNet converts natural video images into semantic classification masks. ParaNet uses the recognized masks from CompNet as input and outputs the pose parameters. The dense dynamic displacement at measurement points with an intervaldistance of 2% of the size of the structure (along the direction with the maximum size) is then obtained using the coordinates of each 3D model vertex. The identification accuracy is discussed for different cases. Furthermore, the performance of the proposed method was validated through the shaking table test results of the two scale models. Finally, the proposed method was applied to a full‐scale suspension bridge and the Tacoma Narrows Bridge (1940) using Internet videos.

Evolutionary history of quadrupedal walking gaits shows mammalian release from locomotor constraint.

Vertebrates employ an impressive range of strategies for coordinating their limb movements while walking. Although this gait variation has been quantified and hypotheses for its origins tested in select tetrapod lineages, a comprehensive understanding of gait evolution in a macroevolutionary context is currently lacking. We used freely available internet videos to nearly double the number of species with quantitative gait data, and used phylogenetic comparative methods to test key hypotheses about symmetrical gait origin and evolution. We find strong support for an ancestral lateral-sequence diagonal-couplet gait in quadrupedal gnathostomes, and this mode is remarkably conserved throughout tetrapod phylogeny. Evolutionary rate analyses show that mammals overcame this ancestral constraint, resulting in a greater range of phase values than any other tetrapod lineage. Diagonal-sequence diagonal-couplet gaits are significantly associated with arboreality in mammals, though this relationship is not recovered for other tetrapod lineages. Notably, the lateral-sequence lateral-couplet gait, unique to mammals among extant tetrapods, is not associated with any traditional explanations. The complex drivers of gait diversification in mammals remain unclear, but our analyses suggest that their success was due, in part, to release from a locomotor constraint that has probably persisted in other extant tetrapod lineages for over 375 Myr.

Evaluation of knowledge, attitude and practice regarding stress management among undergraduate medical students at tertiary care teaching hospital, New Delhi

:Medical training requires continuous efforts and high level of perseverance, patience and commitment from medical students. Due to this performance pressure, students face high level of stress which affects not only their health negatively but also their thinking and learning abilities gets hampered.This study aimsto evaluate the knowledge, attitude and practice of stress management among undergraduate MBBS students at Hamdard Institute of medical sciences & research, Jamia Hamdard attatched to Hakeem Abdul Hameed Centenary hospital, a tertiary care hospital, New Delhi, India.A total of 254 undergraduate students of first year, second year and third first year of MBBS were explained the aims and objectives of the study and written informed consents were obtained from those who were willing to participate in the study. The questionnaire consisted of 12 questions regarding knowledge, attitude and practice on stress management [Annexure attached]. The students were asked to fill the questionnaire by themselves within 30 minutes of time. Out of 12 questions, 4 questions were of knowledge, 3 of attitude and 5 of practice regarding stress management among medical undergraduates. The questionnaires were collected and evaluated for their completeness. The data were recorded in Microsoft Excel Worksheet and analyzed.Out of 254 total undergraduates, 32.3%, 35.8% and 31.8% of students were of first, second and third year MBBS, respectively. 46.5% were male and 53.5% were female students. 28.4% students gave a relevant definition of stress. The most common condition related to stress is anxiety (79.6%). Only 37.4% of students could answer the correct clinical features of stress. Most common stressors were large syllabus (124%), less study time (28.7%) followed by apprehension to viva-voce. 72.7% of students marked that they have faced difficulties in adapting to the new environment and feeling home sickness, which was particularly seen in first-year students. Lack of friends (58.6%) was the most common non-academic cause of stress. 64.9% students had confronted stress because of competition related stress. Most commonly used stress relieving activities by the students was listening to music (63.7%) mostly in female students, followed by watching internet videos (24.1%) particularly in male students. Meditation and prayer were practiced by only 0.8% of students. 2.4% of students indulged themselves in their favorite hobbies when felt stress out and 5.1% students became addicted to smoking and alcohol.There were various stressors among medical students which has an adverse effect on the mental health of the medical students. There is an urgent need to establish and implement some strategies in order to adapt with the prevailing stress factors. Therefore, apart from the academic teaching, extracurricular activities such as meditation/yoga classes, sport activities, psychological counselling etc., should be incorporated in the medical curriculum. This will enhance the ability of students to deal with stress more effectively and this will definitely aid in improving their work efficiency.

Assessing the environmental impacts of wildlife television programmes

Abstract Wildlife TV programmes reach very large global audiences, but it is hard to measure their benefits for the natural world. The commercial need to entertain as well as inform means that many films omit the presence and impacts of people, giving the false impression that we do not affect the natural world. Many wildlife film‐makers want to address the linked climate and biodiversity emergencies, but the obligation to be impartial has made some broadcasters reluctant to commission and show films that seek to change people's behaviour. Internet video streaming services are less constrained, but commercial considerations do apply. Privately funded programmes need not be commercially successful or editorially impartial. They can be distributed over the internet, independently of broadcasters. Increasingly, impact producers are being employed as key components in wider campaigns, to maximise their effect. Mainstream TV companies are starting to follow. Making international wildlife programmes entails a large carbon footprint, much of it due to travel. Many broadcasters and production companies are committing to become carbon‐neutral. Programme‐makers would welcome research that helps them maximise the real‐world impacts of their films and quantifies positive changes for nature. A free Plain Language Summary can be found within the Supporting Information of this article.

Unveiling unexpected training data in internet video

Using clever video curation and processing practices to extract video training signals automatically.

Immediate Bystander Cardiopulmonary Resuscitation to Sudden Cardiac Arrest During Sports is Associated with Improved Survival\u2014a Video Analysis

BackgroundSudden cardiac arrest (SCA) during sports can be the first symptom of yet undetected cardiovascular conditions. Immediate chest compressions and early defibrillation offer SCA victims the best chance of survival, which requires prompt bystander cardiopulmonary resuscitation (CPR).AimsTo determine the effect of rapid bystander CPR to SCA during sports by searching for and analyzing videos of these SCA/SCD events from the internet.MethodsWe searched images.google.com, video.google.com, and YouTube.com, and included any camera-witnessed non-traumatic SCA during sports. The rapidity of starting bystander chest compressions and defibrillation was classified as < 3, 3–5, or > 5 min.ResultsWe identified and included 29 victims of average age 27.6 ± 8.5 years. Twenty-eight were males, 23 performed at an elite level, and 18 participated in soccer. Bystander CPR < 3 min (7/29) or 3–5 min (1/29) and defibrillation < 3 min was associated with 100% survival. Not performing chest compressions and defibrillation was associated with death (14/29), and > 5 min delay of intervention with worse outcome (death 4/29, severe neurologic dysfunction 1/29).ConclusionsAnalysis of internet videos showed that immediate bystander CPR to non-traumatic SCA during sports was associated with improved survival. This suggests that immediate chest compressions and early defibrillation are crucially important in SCA during sport, as they are in other settings. Optimal use of both will most likely result in survival. Most videos showing recent events did not show an improvement in the proportion of athletes who received early resuscitation, suggesting that the problem of cardiac arrest during sports activity is poorly recognized.

The Rise of eSports

The availability and affordability of increased Internet bandwidth, video memory, and processing speed has enabled Electronic sports (eSports) to become a flourishing global sensation and college students are helping to drive this phenomenon. This mixed-methods study focuses on feedback from 159 college students regarding the eSports phenomenon across both gender and educational classification. Findings from the study include their eSports-related gaming and spending habits, and perceptions of personal and academic benefits of playing eSports such as social interaction, teamwork, and critical thinking skills. Included are the perceived risks of playing eSports that encompassed eSports gaming addiction, mental, social, emotional risks, lack of physical activity, and physical disorders associated with playing eSports.

Exploring Awareness About COVID-19 Using YouTube Videos: based on the user engagement

Objective : Swift desirability of people have arisen towards YouTube videos for keeping abreast of the ever-evolving situation with COVID-19 occurrence. We aimed to determine easy to understand and educationally beneficial ‘awareness videos’ of COVID-19 available on YouTube, based on the viewers’ engagement. Methods: We gathered YouTube videos using the phrases ‘COVID-19 awareness’ and ‘Coronavirus knowledge’. Information retrieved included the author’s and or publisher’s name, the total number of watchers, likes, dislikes, and comments. Educationally useful videos about COVID-19 awareness were recognized based on the viewers’ engagement. Videos with correct knowledgeable content were sorted out from impractical videos. Different variables were measured and correlated for the data analysis. Findings: Out of a total of 41 retrieved videos, only 15 (36.58%) were shortlisted. Upon further extensive evaluation, 10 (66.67%) were found to have excellent audio-visual content, carrying outstanding awareness, hence designated as educationally useful content. The total likes of all the 10 videos and the number of views/days showed a statistically significant correlation (r=0.91, P= 0.000). Also, a significant correlation was found between the total dislikes and views/day, likes/day, but with the association and with the score of the video, and the merits of the video were not significant. Novelty: In the wake of the COVID-19 pandemic, information gathering through online resources has risen. YouTube undoubtedly attracted a very high viewership. People from all professions started to seek and collect essential information about the COVID-19. A remarkable feature of this study was it permitted laymen and healthcare workers in the community to be aware of the ever-changing issue associated with COVID-19. Moreover, it made easy access to the educational videos available on the topic, making it a trendsetter study in the region. Keywords COVID­19, Pandemic, YouTube, Awareness, Internet Videos, infectious disease

YouTube as an information source during the COVID-19 outbreak: a cross sectional study of Turkish video content

Aim: Although videos posted on YouTube are popular sources of information on public health issues, they generally need confirmation. Our aim in this study was to evaluate the content of the most viewed Turkish YouTube videos as an information source during the COVID-19 outbreak.&#x0D; Material and Method: On March 26, 2021, videos containing information about the disease were searched on YouTube using the keywords 'coronavirus' and 'COVID-19'. The videos were classified as useful, misleading, personal experiences and news updates based on the type of information they contain. Inter-rater agreement was evaluated using the kappa coefficient. The total number of views, days since upload, total video time and upload source were noted.&#x0D; Results: 96 of a total of 200 videos met the inclusion criteria. The total number of views of the 96 videos included was 21,598,563. 47.92% of the videos were classified as useful, 37.5% as news updates, and 6.25% as personal experiences. It was determined that 8.33% of the videos presented medically misleading information.&#x0D; Coclusion: This study shows that most of the internet videos about COVID-19 on YouTube are considered as beneficial. Videos prepared by reliable sources such as academic institutions and health institutions were few. It is very important that news agencies take measures to prevent the dissemination of false information in public health emergencies and that the content of the videos they publish is correct.

THE USING OF WHATSAPP IN TEACHING PRONUNCIATION PRACTICE TO THE THIRD SEMESTER STUDENTS OF TADRIS ENGLISH STUDY PROGRAM IN IAIN PALU

This research focuses on the using of WhatsApp in teaching pronunciation practice to the third semester students of Tadris English Study Program in IAIN Palu. The research question is “How is the using of WhatsApp in teaching Pronunciation Practice to the third semester students of Tadris English Study Program in IAIN Palu?” This is a qualitative research by using two instruments of data collections namely questionnaire and interview. The participants consisted of 19 third semester students of Tadris English Study Program of State Institute for Islamic Studies (IAIN) Palu. The researcher conducted five meetings of Pronunciation Practice class to the participants via WhatsApp before distributing the questionnaire and interview sheet. The questionnaire consisted of five questions by applying Likert Scale, while the interview consisted of ten questions. From the questionnaire and interview, the researcher concludes that the using of WhatsApp in teaching Pronunciation Practice to the third semester students of Tadris English Study Program in IAIN Palu is practical. The students could understand the material shared via WhatsApp in the form of documents shared, videos shared, as well as voice recording shared. They could use the features in WhatsApp well such as sharing documents, voice notes, sharing videos, video call and so on in learning pronunciation practice. The students like Pronunciation Practice Class and enjoy studying it via WhatsApp. Learning Pronunciation Practice via WhatsApp has some advantages such as time flexibility as well as structured and easily accessed materials. However, it also has some limitations such as internet data availability and video call limitation. Besides, the participants faced several obstacles in learning Pronunication Practice via WhatsApp, such as the limitation of smartphone memory to save files, down internet server, and unavailability of internet data. Nevertheless, they could passed those obstacles well by deleting some unused files to give more space to the memory and finding out wifi connection to stay connected to WhatsApp when the server was down or they ran out of internet data. They could understand the teaching of Pronunciation Practice via WhatsApp by downloading and reading the documents shared, the videos shared, and the voice recording shared by the lecturer. When they found a difficulty, they asked their friends or the lecturer via WhatsApp group.

Sub-Tree-Based Approach for Reconfiguration of Light-Tree Pair without Flow Interruption in Sparse Wavelength Converter Network

Network reconfiguration is an important mechanism for network operators to optimize network performance and optical flow transfer. It concerns unicast and multicast connections. Multicast connections are required to meet the bandwidth requirements of multicast applications, such as Internet Protocol-based TeleVision (IPTV), distance learning, and telemedicine. In optical networks, a multicast connection is made possible by the creation of an optical tree-shaped path called a light-tree. The problem of light-tree pair reconfiguration is addressed in this study. Given an initial light-tree used to transfer an optical flow and a final light-tree that is computed by the network operator to optimize network performance, the goal is to migrate the optical flow from the initial light-tree to the final light-tree without flow interruption. Flow interruption is not desirable for network operators because it forces them to pay financial penalties to their customers. To solve this problem, existing methods use a branch approach that is inefficient if some network nodes do not have wavelength conversion capability. Therefore, we proposed in this study a sub-tree-based method. This approach selects and configures sub-tree pairs from the light-tree pair (initial light-tree, final light-tree) to be reconfigured. Then, we produce a sequence of configurations. The performance study confirms that our method is efficient in solving the problem of light-tree pair reconfiguration because our method does not cause flow interruption.

MODIFIKASI TECHNOLOGY ACCEPTANCE MODEL UNTUK INTERNET TV DI INDONESIA

This study aims to determine the community’s acceptance using of the modification Technology Acceptance Model approach for internet television services. The type of research is descriptive and verification with the descriptive survey method. For operational variables consist of perceived usefulness, perceived enjoyment, perceived quality, attitude, and intention. Data obtained from Indonesia for internet television which is amounting to 213 people. The data were collected using a questionnaire instrument. Questionnaires have been prepared based on indicators of each variable by using Likert’s scale. The result of descriptive analysis showed that Indonesian people accepted internet television services using the modification technology acceptance model approach. The result of CB-SEM showed the model of internet television is quite fit and the hypothesis indicate that perceived usefulness, perceived enjoyment, perceived quality has influence toward intention through attitude in simultaneously and partial.

Patient educational needs and challenges in psoriatic arthritis.

To provide an overview of the recent research publications on educational needs of patients with psoriatic arthritis (PsA) and the associated challenges. The rate of good treatment adherence in PsA can be as low as 57.7% and successful patient education can help improve treatment adherence. Also, 78.7% of patients who stopped their disease modifying anti-rheumatic drugs during the first wave of the COVID-19 pandemic did so without the advice of their clinician. In delivering educational needs, the aspects of disease process, treatment, self-help measures, managing pain, movement, psychological and social needs should all be addressed, whilst at the same time, recognising that PsA patients with multidomain disease, are likely to be dealing with more than just pain. Arthritis self-care management education is potentially beneficial, but up to 11% of educational YouTube videos may contain misleading patient opinion and many existing apps do not meet the needs of the patients with PsA. Significant room for improvement exists in treatment adherence in PsA and patient education addressing the relevant educational needs could assist with this issue. However, patients should be advised to be wary of internet videos and other educational aids that were not created by health professionals.

A new perceptual evaluation method of video quality based on neural network

This paper proposes a novel method for video quality evaluation based on machine learning technique. The current research deals with the correct interpretation of objective video quality evaluation (Quality of Service – QoS) in relation to subjective end-user perception (Quality of Experience – QoE), typically expressed by mean opinion score (MOS). Our method allows us to interconnect results obtained from video objective and subjective assessment methods in the form of a neural network (computing model inspired by biological neural networks). So far, no unified interpretation scale has been standardized for both approaches, therefore it is difficult to determine the level of end-user satisfaction obtained from the objective assessment. Thus, contribution of the proposed method lies in description of the way to create a hybrid metric that delivers fast and reliable subjective score of perceived video quality for internet television (IPTV) broadcasting companies.

Construction and Optimization of Higher Education Management System Based on Internet Video Online Technology

With the rapid development of information technology, the integration of multimedia technology and traditional institutional systems is increasing. However, at present, the establishment and construction of the higher education system in China are not proportional, the function is vague, and the communication efficiency is not high. The reason for this phenomenon is that the traditional higher education management system has been unable to meet the needs of information society and information integration and it is unable to meet the increasing demand for higher education. Therefore, based on the above reasons, it is very important and has long-term strategic significance to establish an efficient and convenient higher education management system based on today’s Internet multimedia technology in a timely and reasonable manner. This paper analyzes the current status of the higher education management system and the problems that are arisen and proposes a three-dimensional integrated management system based on the innovation of Internet multimedia technology. At the same time, aiming at the urgent needs of the current lifelong education of higher education, a reasonable system of higher education diversion is established to focus on solving the phenomenon of imbalanced proportions, ambiguous functions, and low communication efficiency. In the final practical part of this paper, the system model of the three-dimensional integrated education system and the corresponding practical solution to the education diversion are given. After discussion, it has practical application value. The results of the research have shown the effectiveness of the proposed study.

The Impact of Google Education Suite amidst the Pandemic: The New Normal Approach

The Education system in the Philippines was greatly affected by the deadly pandemic – Novel Corona Virus which transcends all our sectors into highly ICT Based enabled sector by using different technological platforms just to continue in their workforce. As part of the challenge in the new normal we are facing right now is the availability to double the services like the increase of bandwidth requirements because of the Distance Education being implemented in all higher education. The researcher is proposing a study to minimize network traffic and slowdown of internet connections and video conferencing by using an alternative platform which can minimize the usage of internet bandwidth. In terms of the video-conferencing classroom platform, it is highly recommended to use another source or tools that can be used in online learning, which is by using the upgraded requirements.

Development of Internet Television Broadcasting and Satisfaction in Internet Broadcasting

Television and broadcasting technology has been constantly developing and renewing since its discovery. When developments in electronic and internet infrastructure were added to these developments, a new process emerged in television broadcasting. These systems, called IPTV or Internet TV, have become global systems with millions of members worldwide. Members can watch TV series, documentaries and movies as much as they want, wherever and whenever they want, on all screens connected to the internet. It can play, stop, and continue watching broadcasts at any time. In this study, the possibilities of Internet TV broadcasting are examined in various aspects and satisfaction research is conducted for Netflix users. The purpose of the study is to measure the overall satisfaction of people who are members of Netflix. Questionnaire Method was used to obtain data in the research. The questionnaire consists of 15 questions and was developed by the researcher. The universe of the research is students of Akdeniz University, Faculty of Communication in Turkey Its sample is 89 students representing the universe. The students were determined by the Easy Sampling method. SPSS statistics program was used to analyze the obtained data. Reliability test, Independent t test, anova test, frequency, percentage and average scores were used to evaluate the data.

Netflix and Over the Top Politics? The Mechanism TV series and the dynamics of entertainment intervention

Produced and released by Netflix in March 2018, The Mechanism (2018–), a web series, fictionalised the Lava Jato operation, a series of criminal investigations about corruption in the Brazilian political system that led to the imprisonment of leading Brazilian politicians and businessmen. Analysing the series along with the media coverage in the Brazilian mainstream online and printed press, this article examines the complex and troublesome relationship between an ongoing criminal investigation with ramifications for the political system and its fictionalisation on a worldwide internet television platform.