ESports: a Review of Foreign and Russian Media Resources

Millions of people all over the world watch ESports matches and follow the news about favourite teams and players. Due to the COVID-19 pandemic ESports market has received unprecedented growth of audience. The present paper is aimed at exploring and comparing specific features of ESports internet resources development around the world. The author observes the most visited ESports sites in such countries as South Korea, China, the USA, and Russia. Also, this article examines website traffic statistics to analyze the popularity of ESports internet resources among an audience. The data is based on the number of views and visitors for each country during the day, month, and year. The study showed that the Asian ESports media market prefers to use video format for providing content compared to the USA and Russia. The USA and Russia still use text and video formats.

TikTok and the new language of political communication

Introduction: Political parties struggle to reconnect to Young people by using social networks. Acknowledging that 2020 has been the year of TikTok, most Spanish political parties have joined this social network: Podemos, with 191.400 followers and 3.1 million likes, is the most followed political party on this platform. Method: Using multimodal content analysis, this paper aims at analyzing how the party is using this social network, and for which purposes, placing the attention on how Podemos has adapted to TikTok specificities in terms of both language and technical affordances. Results: Results show that while the party perfectly adapts to TikTok’s specific language and technical affordances (special effects, etc.), instead of focusing on entertainment, the platform’s main genre, it uses TikTok as a showcase for political activities, failing in favoring a renovating relationship with users. However, politics is represented through the “game frame”, that is to say, dramatized as a battlefield between Good and Evil, which strengthens the populist dichotomous vision of the world, endorsing emotional response. Conclusion: In this sense, it is possible to conclude that, although Podemos mainly displays political content, this content falls into the category of politainment. Considering that present trends in usage rates suggest that the short-video format is the future of social media, we might expect an increase in politainmement content.

Selective Video Encryption Using the Cross Coupling of One-dimensional Logistic Maps

H.264 videos have been the most shared type of video format in recent times and hence its security is a major issue. The techniques presented in the recent times incur complex computations. The major research objective is to design an efficient Chaotic Selective Video Encryption (CSVE) technique which can result in a better visual degradation of the encrypted video with less computational complexity. In the proposed work, in order to secure the H.264 videos, two one-dimensional logistic maps are cross coupled in the chaotic encryption technique which uses a lookup table for data conversion. The technique is evaluated using different performance metrics like Peak Signal to Noise Ratio (PSNR), entropy, statistical analysis etc along with the traditional logistic map. The work is compared with some recent techniques in terms of PSNR and was found out that the proposed technique has better encryption effect.

Scraping and Analysing YouTube Trending Videos for BI

Analysis of structured data has seen tremendous success in the past. However, large scale of an unstructured data have been analysed in the form of video format remains a challenging area. YouTube, a Google company, has over a billion users and it used to generate billions of views. Since YouTube data is getting created in a very huge amount with a lot of views and with an equally great speed, there is a huge demand to store the data, process the data and carefully study the data in this large amount of it usable. The project utilizes the YouTube Data API (Application Programming Interface) which allows the applications or websites to incorporate functions in which they are used by YouTube application to fetch and view the information. The Google Developers Console which is used to generate an unique access key which is further required to fetch the data from YouTube public channel. Process the data and finally data stored in AWS. This project extracts the meaningful output of which can be used by the management for analysis, these methodologies helpful for business intelligence.

Classification of Asbestosis in CT Imaging Data Using Convolutional LSTM

Asbestosis is a disease with a high rate of mismatch between the readers. In this study, we use a deep learning framework to develop a model that can check the presence and lesion of asbestosis using medical CT data. The data was collected from 469 patients who had been tested for asbestosis. Out of the 469 patients, 284 were tested negative for asbestosis, while 185 were asbestosis positive. A CT image of a supine positioned lung setting was used. This study sought to solve the problem of image classification of CT data through Convolutional LSTM. Long-term Recurrent Convolution Networks (LRCN), a model that uses video format data as input, has been applied in this study. The model showed 83.3% Accuracy, 81.578% true positive and 86% true negative. In addition, a model that can verify validity by assisting a specialist with a Grad-CAM that can visualize the judgment was also developed. We hope that the model of this study will be able to work with specialists by acting as a judgment assistant.

Video versus in person hearings: Determining witness credibility

<p>Because of health risks during the global pandemic of 2020, many fact finding hearings previously held in-person were offered in a video format. The return of in-person hearings is reemerging as many practitioners contend that video hearings are inadequate for viewing witness demeanor, thereby hindering determination of witness credibility. This paper summarizes the best available evidence and concludes: (1) personal demeanor is a not reliable factor for weighing witness credibility or deception detection, (2) a variety of indicators to be used by a “trier of fact” are more accurate in evaluating witness credibility, (3) and a video format is more reliable than an in-person hearing in assessing witness credibility. It concludes with an examination of what has been learned and the opportunities recorded video hearings offer for assessing witness credibility in the future. </p>

Video versus in person hearings: Determining witness credibility

<p>Because of health risks during the global pandemic of 2020, many fact finding hearings previously held in-person were offered in a video format. The return of in-person hearings is reemerging as many practitioners contend that video hearings are inadequate for viewing witness demeanor, thereby hindering determination of witness credibility. This paper summarizes the best available evidence and concludes: (1) personal demeanor is a not reliable factor for weighing witness credibility or deception detection, (2) a variety of indicators to be used by a “trier of fact” are more accurate in evaluating witness credibility, (3) and a video format is more reliable than an in-person hearing in assessing witness credibility. It concludes with an examination of what has been learned and the opportunities recorded video hearings offer for assessing witness credibility in the future. </p>