Video Content Production Research Articles

Development of Ocean Healing VR Content Using Underwater Video Technology

Recent advancements in filming equipment and content playback devices have significantly accelerated the development of VR video content. In particular, the growing need and demand for proactive health management among patients have spurred research into using VR video content for stress management. This paper aims to present the fundamentals for creating marine healing VR video content based on marine and underwater landscapes and for utilizing it as a stress management tool. To achieve this, we introduce an overview of the entire VR video content production process, from professional filming planning to the creation of VR video content, based on a survey conducted to improve existing VR video content.

디지털 영상 합성촬영 방법의 차이와 활용에 따른 영상 콘텐츠 분류의 목적과 방향성에 대한 고찰

This study aims to classify and define video content according to composite shooting methods to minimize confusion becauseXR and virtual production are used interchangeably in video content production sites without a distinction of terms.XR Studio (or Stage)—a video compositing system that combines the physical reality world with the digital virtual world—and Virtual Production are video compositing technologies that use the same software, rendering technology, real-time engines, and media technology systems that are synchronized to the LED wall. Communication at the video content production site is therefore unclear. Although XR Studio and Virtual Production are connected and may use some of the same technologies, they are ultimately separate entities. XR Studio and Virtual Production should be used separately,depending on the type of video content being produced. This study examines the similarities and differences in the technical approaches of XR and virtual production systems and presents a classification of video content according to the use of XR and virtual production.

Методи iнтелектуалiзацiї процесiв просторового монiторингу сцени

Introduction. The development of intelligent technologies requires the active use of advanced technologies and innovative approaches for the intellectualization of spatial scene monitoring processes. The relevance of the topic lies in the great need to improve the quality of video content production. In particular, there is interest in the automation and further intellectualization of shooting processes. The use of new methods of intellectualization leads to a reduction of permissible errors when creating a creative video project. Intellectualization of data processing processes from markers, namely the use of artificial intelligence (AI) methods, allows to obtain a controlled level of quality with minimal human involvement. Intellectualization of stage production contributes to the creation of exciting and innovative performances that captivate the audience. It allows creating new ways of interacting with the audience and providing them with unique impressions from cultural events. The purpose of the paper is to study the methods of intellectualization of data processing from markers during the use of automatic video cameras in tasks of observing stage action for video-photography. The results. The issue of the interaction of markers with cameras in three-dimensional space, which is completely identical to the built 3D model, is considered. Conclusions. The information technology of spatial monitoring of the scene can increase the efficiency and simplify the use of automatic video cameras in the tasks of monitoring the stage action for video-photo shooting. There is no one universal "best" method, as each algorithm has its own advantages and disadvantages. However, the optical flow gradient calculation method may be considered more suitable for use in stage production. The introduction of information technology for spatial scene monitoring based on the optical flow gradient calculation method will improve efficiency and simplify the use of automatic video cameras. The use of surveillance information technology will reduce the burden on the personnel who maintain and manage the filming and are involved in the work. Keywords: intellectualization of data processing processes, intelligent monitoring, automatic video camera, animation, optical flow gradient, computer vision

세로형 교육 영상콘텐츠의 디자인 구성요소 활용 제안

The study analyzed user preferences and expressive characteristics of design components for vertically oriented educational video content on vertical media platforms. Through a literature review, theoretical background was established, and design components were derived. A case study on content from the Photoshop YouTube account and focus group interviews (FGI) involving five experts helped design evaluation criteria. An experiment with 48 participants measured their preferences and the importance of characteristics for each component. Results showed clear preferences for certain design components like screen, caption font, and sound. Specific expressive characteristics deemed important included 9:16 aspect ratio, top and bottom placement, outline clarity, text box readability, and voice clarity. Subsequent research aims to provide foundational data for vertically oriented educational video content production on vertical media platforms.

Learning Through Vlogging: Understanding, Critiquing, and Providing Solutions

Using information technology in the classroom is now seen as students’ most effective teaching approach. They could acquire a particular knowledge more rapidly after playing a particular game. This way of learning is more readily accepted than the explanation provided by the instructor. This study aimed to investigate the applicability of project-based learning to the consumption of economics-related content on YouTube. Not only did this kind of instruction result in the production of video content for educational purposes, but it also benefited students in gaining a theoretical and practical grasp of economics by establishing it on actual events that occurred in the real world. With the quantitative method of t-analysis, when compared to other methods, the results of this study demonstrated that vlogging as a means of education had a substantial impact.
 Keywords: project-based learning, YouTube, video blog, learning, education

The Research on the Influence of the Younger Age Trend of Chinese Media Bloggers on Public Opinion -- Case Study of Douyin and Bilibili

In recent years, Douyin and other social media platforms continue to develop, and short video has become a way of entertainment for the masses. Many underage bloggers are growing among the massive users of short video content production. Based on this phenomenon, this paper explores the influence of underage social media bloggers on public opinion, fills the gap in current research, and leads minors to use social media platforms reasonably. In this paper, 20 short videos and 200 comments from 4 video makers (2 of them are juveniles and others are adults) have been selected, analyzed, and compared. These videos have similar popularity and content. According to data, underage bloggers received more positive comments than adults and got most of the comments on age. The results show that teenagers are using social media and short videos to empower themselves and create a new image of Generation Z in public opinion. They also help to spread knowledge across different circles, creating new topics of public agenda and culture. However, people should also pay attention to possible negative impacts on minors' values, ordinary life, and psychological health when they face temptation and malice on the Internet. The government, social media platforms, schools, parents, and minors themselves should make a concerted effort to prevent and deal with these risks and offer teenagers safe cyberspace to show themselves and make progress.

코로나19 상황의 원격수업에서 동영상 매체 활용에 대한 유아교사의 경험

Objectives This study is to explore the experiences of two early childhood teachers on the use of video media in remote classes in the COVID-19 situation. Methods For this study, two teachers of J kindergarten were targeted. Data were collected through in-depth interviews from December 28, 2020 to June 1, 2021. Data analysis was conducted as an inductive analysis method in which meaningful parts were divided in order to derive meanings from the original data, the keywords were created, and the research axis was formed by nomadizing them. Results As a result the study, early childhood teachers did 1) Utilizing the contents of ‘play-on’, 2) providing the same learning experience with video media, 3) providing video to guide simple activities, 4) creating video content that stimulates immersion and curiosity, 5) providing videos that enable discussion and thinking to conduct remote classes. Through the remote classes experience in the COVID-19 situation, early childhood teachers requested the need for pre-teacher education; 1) developing video content production skills, 2) developing remote learning skills through simulated instruction, 3) developing early childhood-led distance learning research capabilities, and 4) developing flexible coping skills to solve problems. Conclusions This study suggests the direction of pre-service teacher education to prepare for crisis situations by exploring early childhood education in crisis situations.

Editorial: Video Content Production and Delivery Over IP Networks and Distributed Computing Facilities

Editorial: Video Content Production and Delivery Over IP Networks and Distributed Computing Facilities

STRATEGIC APPLICATIONS OF ARTIFICIAL INTELLIGENCE IN THE ENTERTAINMENT INDUSTRY

ABSTRACT This study seeks to examine the development of the global entertainment industry through the application of artificial intelligence (AI) technologies. As the global entertainment business continues to grow, it is critical to look at how AI may best be used to achieve the best possible growth scenarios. Specific benefits of AI technology application from the perspective of the current entertainment business must be evaluated, as well as the potential problems and hazards of such a solution. The significance of current issues in the entertainment industry's operations and the prospective benefits of AI technology were examined from this perspective. Using a survey questionnaire, the authors were able to identify prospective areas for the use of AI in the entertainment business. Study participants comprised senior executives from the world's leading entertainment companies that operate in the sphere of video content production. The findings revealed specific aspects of business operations, where integration of the AI technologies could be associated with the highest benefits for the business owners and the management team. Together with this, opportunities for further research and managerial implications for the entertainment sector were identified. Keywords AI in Entertainment; Opportunities and Challenges; Survey of Benefits.

High Throughput JPEG 2000 for Video Content Production and Delivery Over IP Networks

ITU-T Rec T.814 | IS 15444-15, known as High Throughput JPEG 2000, or simply HTJ2K, is Part-15 in the JPEG 2000 series of standards, published in 2019 by the ITU and ISO/IEC. JPEG 2000 Part-1 has long been used as a key component in the production, archival and distribution of video content, as the distribution format for Digital Cinema, and an Interoperable Master Format from which streaming video services are commonly derived. JPEG 2000 has one of the richest feature sets of any coding standard, including scalability, region-of-interest accessibility and non-iterative optimal rate control. HTJ2K addresses a long-standing limitation of the original JPEG 2000 family of standards: relatively low throughput on CPU and GPU platforms. HTJ2K introduces an alternative block coding algorithm that allows extremely high processing throughputs, while preserving all other aspects of the JPEG 2000 framework and offering truly reversible transcoding with the original block coded representation. This paper demonstrates the benefits that HTJ2K brings to video content production and delivery, including cloud-based processing workflows and low latency video content streaming over IP networks, considering CPU, GPU and FPGA-based platforms. For non-iterative optimal rate control, HTJ2K encoders with the highest throughputs and lowest hardware encoding footprints need a strategy for constraining the number of so-called HT-Sets that are generated ahead of the classic Post-Compression Rate-Distortion optimization (PCRD-opt) process. This paper describes such a strategy, known as CPLEX, that involves a second (virtual) rate-control process. The novel combination of this virtual (CPLEX) and actual (PCRD-opt) processes has many benefits, especially for hardware encoders, where memory size and memory bandwidth are key indicators of complexity.

Research on the Production Strategy of Mobile Short Videos Based on User Comments --Take metaverse blogger Liu Yexi as an example

Based on the first level of user comments in first short video of “Liu Yexi”, we use text analysis, combining three aspects of text sentiment analysis, text word frequency statistics and text topic clustering extraction, to explore the focus of user attention and summarize the reasons for the popularity of this video and provide ideas for future content production in the short video industry. The study found that users' emotional attitude toward this video was positive, and the focus of attention was on six main aspects: technical threshold, original plot, multi-dimensional sensory experience, personalized features of the main character, copywriting and label positioning, cultural aesthetics and value orientation. According to the word frequency statistics and thematic clustering results, the study concludes that new ideas for short video content production include: exploring the deep integration of "technology+", shaping a personalized virtual IP image, deepening original script creation, polishing adaptable copywriting content, and contributing to the return of traditional aesthetic elements.

Is YouTube a high-quality source of information on cancer rehabilitation?

Searching for information on the Internet, especially YouTubeTM, is gaining popularity for cancer survivors. Based on the topic ofonline health information, the importance of studies using YouTube data for various cancer types and treatment methods hasincreased. This study aims to investigate the quality, reliability, and accuracy of YouTube videos on cancer rehabilitation (CR). YouTube search was performed on February 26th, 2021, with two keyword sets: "cancer rehabilitation" and "oncology rehabilitation." The modified DISCERN, the Journal of the American Medical Association (JAMA) scoring system, and the Global Quality Score (GQS) were used to evaluate the quality and reliability of the videos. The features of each video such as the number of likes, dislikes, and views, upload date, duration, like ratio, and the uploader profile were alsocollected. Fifty-three of the first 200 videos shown in the search results met the criteria. Most of the videos were low quality. The most common uploader profile was academic institute/university hospital. The three most common subjects in the videos were CR definition, physical therapy and occupational therapy, and patient experiences. The mean modified DISCERN, JAMA, and GQS scores were 2.14, 2.03, and 2.78, respectively. Higher quality videos had longer duration, greater number of views, and better reliability scores. The results showed that most of the rated videos were of low-quality and didn't provide sufficient information on the topic discussed. Higher-quality and more accurate YouTube videos are needed to increase awareness of CR. For cancer survivors, CR-related YouTube video content often provides information oflow reliability. In this context, it is necessary to focus on the production of video content that includes clinical guides, references, and are based onclinical-based practices.

Are global over-the-top platforms the destroyers of ecosystems or the catalysts of innovation?

Global over-the-top (OTT) platforms such as YouTube and Netflix are gaining great popularity worldwide. Although the entrance of global OTT platforms may undermine the growth of countries’ local-related industries, it is also possible that imitation on the part of domestic content providers stands to create new OTT platforms or other opportunities for the growth of local content industries. This study examines the impact of global OTT platforms on the local video content industry in South Korea. Specifically, it investigates the impact of the launches of YouTube and Netflix on efficiency differences in local video content production and distribution industries through stochastic frontier analysis and meta-frontier analysis. Introduction of the global OTT platform had an impact on the domestic content industry, but there was a difference in growth according to the detailed classification industry, and the effect differed depending on the entered platform. Tobit analysis confirms that the effects of technological development and entry of global OTT platforms are significant on the technical gap ratio.

A Study on the Reproduction Strategy through the Planning Process of Baby Shark

In this study, the aim is to understand the strategy of video content production with the case of the baby shark development process of Pink Fong Company, the content is described about the successful planning and strategy of baby shark which has become a global content, and the main point describes the planning of the production process and marketing strategies for each country. The findings of the conclusions resulted in the application of the standards of globalization and the local understanding of culture as the main factors for content success. If the Pink Pong Company's method is applied through this, it is possible to apply what is the main issue of creative content production Reproduction in the future.

Development of University Liberal Education Curriculum for Creating Video Content -Understanding and Production of Video Content-

Development of University Liberal Education Curriculum for Creating Video Content -Understanding and Production of Video Content-

ЭКРАННЫЕ ФОРМЫ НА БИЕННАЛЕ СОВРЕМЕННОГО ИСКУССТВА

Video today is a popular tool for artists of postmodern, poststructuralist, post-conceptual orientations. These practices have not yet developed their economic model and have spread mainly through biennials and festivals of contemporary art, as the main form of their comprehension and display. At the same time, “video art”, “video installations”, “video sculptures”, “video performances”, “films” at the exhibitions are far from an exhaustive list of strategies, stating a cinematic turn in contemporary art, where videos are considered among the basic tools of a contemporary artist and curator. It gets increasingly difficult to imagine exhibitions that resonate with the public and critics without video. From an avant-garde countercultural practice, video has become the mainstream of contemporary exhibition projects and is presented in exhibitions in many variations. The article analyzes the strategies for including video in the expositions of national pavilions at the 58th Venice Biennale, among which the production of video content in the genre of documentary filming, investigative journalism, artistic mystification, and interactive installation can be distinguished. Artists both create their own content and use footage content from the Internet. The main awards of the Biennale are won by large—scale projects that dialogize fine art with cinema and theater. For the implementation of artistic ideas curators of biennial projects attract professional directors, screenwriters, sound and light specialists. The biennials of contemporary art, by analogy with the term screen culture, can be attributed to the large format in contemporary art. At them, video goes beyond the small screens with the help of full-screen interactive installations, projections on buildings, films timed to exhibitions are broadcast on YouTube and Netflix. As the coronavirus pandemic has shown, the search for new tactics using screen forms is sometimes the only way out for a large exhibition practice in a situation where it is impossible to conduct international projects and comply with new regulations. The Riga Biennale of Contemporary Art, Steirischer herbst in Graz, followed this path. The exhibition is moving closer to film production. New optical and bodily models are being formed. The contemplative essence of art is being replaced by new ways of human perception of information, space and time, built on the convergence of communication means—video, music, dance, the interpenetration of objective and virtual realities.

Research of means of increasing the efficiency of creating high quality video content

This article discusses the problem of editing high quality video, which is used in commercial digital cinema using the Full / Quad / Ultra High Definition screen resolution option. Today, in the age of high information technologies, there is a rapid growth in the volume of information flows and, as a result, the formation of new knowledge and methods of activity with the help of video content. Therefore, the problem of increasing the efficiency of using software for creating high quality video content becomes urgent. Editing of high-quality video content is associated with the need to sort and store various segments or fragments of a video sequence in the process of processing or restructuring the source material for subsequent intra-frame or between frame editing. Naturally, high quality video content has a significant amount of data and takes up a lot of storage space. Hence, the problem arises of finding methods to increase the efficiency of using software for creating high quality video content. To solve this problem, a systematic analysis of the video content production process was carried out, a certain problem of editing (composing) as the need to reduce the editing time in the process of processing or restructuring the source material as a condition for increasing the efficiency of the video content editor. Analyzed from the point of view of technical and software video editing procedures, namely: special effects, do video correction, cutting, joining, applying various transitions, overlaying and editing sound and others. Consider the types of video content editing: linear or non-linear, and their components: parallel editing, accent editing, intra-frame between frame editing. The difficulties that arise during editing have been identified: conversion time, the required amount of memory (operative and hard disk). Analyzed from the point of view of hardware and software, procedures, algorithms for their implementation, advantages and disadvantages. Consider the requirements for high quality video equipment, namely: formats screen resolution Full / Quad / Ultra High Definition. 2K, 4K, 8K. The performed analysis of the characteristics of professional video editing software: Adobe Premiere Pro, Pinnacle Studio, Edius, Movavi Video Editor, Sony Vegas Pro, Windows Movie Maker, Final Cut Pro X, Avid Media Composer. Based on the performed system analysis, the requirements for computers and equipment for video editing: for a processor, video card, RAM, storage memory (HDD hard drives), monitor, matrix type.

DeepReS: A Deep Learning-Based Video Summarization Strategy for Resource-Constrained Industrial Surveillance Scenarios

The exponential growth in the production of video contents in different industries causes an urgent need for effective video summarization (VS) techniques, in order to get an optimal storage and preservation of key information in the video. Compared to other domains, industrial videos are more challenging to process, as they usually contain diverse and complex events, which make their online processing a difficult task. In this article, we introduce an online system for intelligent video capturing, coarse and fine redundancy removal, and summary generation. First, we capture video data through resource-constrained devices in an industrial Internet of Things network, equipped with vision sensors and apply coarse redundancy removal through the comparison of low-level features. Second, we transmit the resulting frames to the cloud for detailed analysis, where sequential features are extracted for the selection of candidate keyframes. Finally, we refine the candidate keyframes in order to discriminate those with maximum information as part of the summary. The key contributions of this article include the coarse and fine refining of video data implemented over resource-restricted devices and the presentation of important data in the form of a summary. Experiments 1 1 [Online]. Available: https://github.com/tanveer-hussain/DeepRes-Video-Summarization . over publicly available datasets evince a 0.3-unit increase in the F1 score when compared to state-of-the-art and with reduced time complexity. Furthermore, we provide convincing results on our newly created dataset in an industrial environment, which is made publicly available for the research community along with its labeled ground truth.

Journalism Featuring Artificial Intelligence

The article deals with mass media techniques based on the algorithms of artificial intelligence, principles of machine learning and deep learning based on neural networks, and recommenders. The authors provide an analytical review of experiences of applying these techniques in various spheres, namely, data processing and analysis, automated production of reports on current events and facts, interactive communication with audience, tracking newsworthy events, fact-checking, visual discovery, video content production, and others. The mass media techniques are demonstrated by the list of examples of Reuters News Tracer, Wordsmith, Heliograf, Perspective (an interface of applied programming), Newswhip, Quackbot, Guardian Chatbot, Wibbitz, Factmata, et al. Factmata is given special attention to as a complex approach to algorithmization of the Media that includes such methods as contextualization of statements, arguments and stories, and keeping a blacklist of domains which the algorithms mark as hateful, hyperpartisan, toxic, or fake news. The authors note that machine learning of algorithms for generating and analyzing texts is becoming easily accessible. Moreover, the new generation of algorithms based on artificial intelligence is able to identify text sentiment. The analysis of the impact of the media environment, including such factors as echo chamber and filter bubble, on information users shows that information can now be compared to a drug which is almost legal and easily available for use by any social group, and its users, due to targeting and personalization, are transforming into its «ideal consumers».

PewDiePie som kulturkritisk aktør – metakritik og konstruktionen af ’indie’

Verdens mest populære youtuber PewDiePie har gentagne gange kritiseret både YouTube og de mainstreammedier, der begge har været med til at give han positionen som den mest populære youtuber nogensinde. Denne artikel er interesseret i at undersøge, hvordan PewDiePie forhandler sin position som youtuber, hvor han er afhængig af at fremstå troværdig og autentisk samtidig med, at hans relationer til sit publikum er økonomisk profitskabende. Artiklen trækker på teoretiske diskussioner om indieidealet, der med sin dialektiske forståelse af relationen mellem indiekulturprodukter og mainstreamkulturprodukter er med til at åbne for en læsning af PewDiePies håndtering af kritikken, han retter mod YouTube og mainstreammedierne. Yderligere adresserer artiklen også, om man kan tale om en nykonfiguration af indieidealet i kontekst af denne ekstremt kommercielle kultur.