Video Content Analysis of Human Sports under Engineering Management Incorporating High-Level Semantic Recognition Models

In this paper, a high-level semantic recognition model is used to parse the video content of human sports under engineering management, and the stream shape of the previous layer is embedded in the convolutional operation of the next layer, so that each layer of the convolutional neural network can effectively maintain the stream structure of the previous layer, thus obtaining a video image feature representation that can reflect the image nearest neighbor relationship and association features. The method is applied to image classification, and the experimental results show that the method can extract image features more effectively, thus improving the accuracy of feature classification. Since fine-grained actions usually share a very high similarity in phenotypes and motion patterns, with only minor differences in local regions, inspired by the human visual system, this paper proposes integrating visual attention mechanisms into the fine-grained action feature extraction process to extract features for cues. Taking the problem as the guide, we formulate the athlete’s tacit knowledge management strategy and select the distinctive freestyle aerial skills national team as the object of empirical analysis, compose a more scientific and organization-specific tacit knowledge management program, exert influence on the members in the implementation, and revise to form a tacit knowledge management implementation program with certain promotion value. Group behavior can be identified by analyzing the behavior of individuals and the interaction information between individuals. Individual interactions in a group can be represented by individual representations, and the relationship between individual behaviors can be analyzed by modeling the relationship between individual representations. The performance improvement of the method on mismatched datasets is comparable between the long-short time network based on temporal information and the language recognition method with high-level semantic embedding vectors, with the two methods improving about 12.6% and 23.0%, respectively, compared with the method using the original model and with the i-vector baseline system based on the support vector machine classification method with radial basis functions, with performance improvements about 10.10% and 10.88%, respectively.

Investigation of Students’ Satisfaction about H5P Interactive Video on MOODLE for Online Learning

Open universities play an important role in delivering distant learning education to the general public. MOODLE is an open-source programme that enables and maintains the success of open universities. One of the main concerns of teachers when using internet content is the students' interest, particularly when using recorded videos because synchronous interactive instruction is not possible for big groups of students online. In an e-learning system, interactive videos are crucial because they allow learners to interact with learning content while watching the video. The H5P module of MOODLE Learning Management System (LMS), was used to generate an interactive film in this empirical study. The focus of the study was to investigate students’ satisfaction about interactive video content on MOODLE in online learning. It was assessed by using the Delone and Mclean Information Systems Success Model. H5P interactive video content was developed and implemented on MOODLE and satisfaction of students was measured. The findings revealed that the value of video for learning effectiveness is depending on the level of interactivity. Students in the e-learning class with interactive video had much higher levels of satisfaction than students in other settings.

Hasil Final _Jurnal Analisis Rasio Youtube 5 Vendor Brand Perhiasan Terkenal Di Dunia.pdf

Youtube is a video sharing website created by three former PayPal employees in February 2005. The company is headquartered in San Bruno, California. Youtube allows users to create videos of minimum duration from 10 minutes to 8 minutes, accompanied by a variety of user/creator-generated video content, including movie clips, TV clips, and music videos. In addition, amateur content such as video blogs, and several other creative features. In Indonesia, there are 93.8 percent of the 170 million active users, making Indonesia the country with the largest Youtube users in the world. The number of active Youtube users in Indonesia can certainly provide an opportunity for brands to make the Youtube platform a social media marketing platform. There are 5 world-famous jewelry brand vendors that use Youtube as a marketing platform, namely: Dior, Tiffany & Co, Mikimoto, Cartier, and Buccellati. The purpose of this study is to calculate the credibility of the Youtube account performance of the Top 5 Famous Jewelry Brand Vendors in the World. The method used in this study is an exploratory quantitative method. The results of this study indicate that the vendor of a well-known jewelry brand in the world. Indonesia is ranked first and has good account performance credibility.

Challenges of Online Exam Systems in the COVID-19 Pandemic Era

The swift conversion of courses to online format and online exam systems has identified the COVID-19 pandemic era. All educators on the globe have faced the obstacles of abrupt adoption of distance education learning methods. This unexpected shift has presented numerous challenges as preparing an online course content requires developing detailed course plan design, audio and video content, and technical support equipment. This chapter focuses on determining the problems and developing solutions based on the student perceptions about the online exams, which were compulsorily transitioned during the pandemic process. A survey about student perceptions of online exams has been developed and applied to the students after they have taken the exam. Descriptive statistics is used to analyze the data. E-assessment of perception about the online exam system and its impacts on motivation and performance are discussed, and suggestions to improve the system are provided in the chapter.

Short video content en la estrategia de marca. Análisis del uso de TikTok por el Museo del Prado

En una sociedad marcada por la cuestión digital y la pandemia mundial por COVID-19, los museos han experimentado la necesidad de incorporarse a nuevas plataformas sociales, donde se encuentran los públicos más jóvenes. Este contexto ha propiciado una intensificación del uso de estos canales así como una reconfiguración de las estrategias comunicativas en el entorno digital por parte de los museos. El objetivo de esta investigación es analizar cómo el Museo Nacional del Prado usa la plataforma TikTok dentro de su estrategia de marca y estudiar su producción de short video content, formato característico de esta red social. Para ello, se aborda un estudio de caso en el que se desarrollan una entrevista estructurada con personal del área de comunicación y redes sociales del museo así como un análisis de contenido para el que se elabora una ficha ad hoc. Los resultados muestran que la estructura narrativa y el lenguaje utilizado se adecúan siempre al público y a la plataforma desde el rigor y el respeto, usando un registro informal con el objetivo de transmitir conocimiento sin dejar de conectar de forma más eficiente con el patrón de consumo de la red social.

FORMATION OF QUALITY CRITERIA OF ADVERTISING VIDEO USING THE METHOD OF ANALYSIS OF THE SAATI HIERARCHY

The article contains substantiated criteria for the quality of an advertising video using the Saaty hierarchy analysis method. Thanks to the proposed recommendations, the enterprise can prioritize the video content development process and focus more on the significant criteria that affect the final result. The equivalence of the influence on the quality of the video of such criteria as the level of personnel qualifications, the quality of the script, the price and speed of creation, technical equipment has been proved. Other criteria are less important, but have their own contribution.

Literasi Media Melalui Video Podcast pada Kalangan Mahasiswa Yogyakarta

Video podcasts become one of the digital content included in a combination format, combined writing, video, and audio packed so that it becomes content distributed in digital format. The ease of accessibility of podcast video content makes it important to apply media literacy to remain critical of the message's various meanings in the content in the video podcast. This study aims to determine the level of media literacy through video podcasts among students of Communication Sciences Yogyakarta. The method used in this study is a descriptive quantitative method with the concept of measuring individual competence framework media literacy. Samples from this study were active students of Communication Sciences in 2019/2020 at Ahmad Dahlan University, Mercu Buana University Yogyakarta, and AMIKOM University Yogyakarta, with a total sample of 368 respondents. This study showed that the level of media literacy through video podcasts among students of Communication Science Yogyakarta is at a high level (advanced) with details of technical skills are in the advanced category of 80%, critical understanding ability at the advanced level of 86%. Communicative abilities are at the medium level of 59%. This shows that Yogyakarta communication students can use very high media, analyze excellent information, and participate and communicate actively through social media.

Automation in the Intralingual Subtitling Process

The demand for intralingual subtitles for television and video content is increasing. In Finland, major broadcasting companies are required to provide intralingual subtitles for all or a portion of their programming in Finnish and Swedish, excluding certain live events. To meet this need, technology could offer solutions in the form of automatic speech recognition and subtitle generation. Although fully automatic subtitles may not be of sufficient quality to be accepted by the target audience, they can be a useful tool for the subtitler. This article presents research conducted as part of the MeMAD project, where automatically generated subtitles for Finnish were tested in professional workflows with four subtitlers. We discuss observations regarding the effect of automation on productivity based on experiments where participants subtitled short video clips from scratch, by respeaking and by post-editing automatically generated subtitles, as well as the subtitlers’ experience based on feedback collected with questionnaires and interviews. Lay summary This article discusses how technology can help create subtitles for television programmes and videos. Subtitles in the same language as the content help the Deaf and the hard-of-hearing to access television programmes and videos. They are also useful for example for language learning or watching videos in noisy places. Demand for subtitles is growing and many countries also have laws that demand same-language subtitles. For example, major broadcasters in Finland must offer same-language subtitles for some programmes in Finnish and Swedish. However, broadcasters usually have limited time and money for subtitling. One useful tool could be speech recognition technology, which automatically converts speech to text. Subtitles made with speech recognition alone are not good enough yet, and need to be edited. We used speech recognition to automatically produce same-language subtitles in Finnish. Four professional subtitlers edited them to create subtitles for short videos. We measured the time and the number of keystrokes they needed for this task and compared whether this made subtitling faster. We also asked how the participants felt about using automatic subtitles in their work. This study shows that speech recognition can be a useful tool for subtitlers, but the quality and usability of technology are important.