Digital Signal, Image and Video Processing for Emerging Multimedia Technology

Kim, Byung-Gyu

doi:10.3390/electronics9122012

Cited by 3 publications

(1 citation statement)

References 28 publications

(26 reference statements)

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“…Moral (2019), aiming at the current situation of the construction of China's sports discipline system, asserts that China's sports science is expected to become a new discipline category independent of pedagogy; according to Moral (2019), the specialty or direction of physical education in colleges and universities should be considered in combination with the demands of disciplines and social needs. Taking the postgraduate level of sports management education as the research perspective (Kim, 2020), this paper makes an in-depth investigation, comparison and analysis of its training status, focusing on the empirical research from the aspects of training objectives, curriculum setting, and limiting factors. At the same time, it analyzes and draws lessons from the experience of American sports management education, trying to put forward more reasonable suggestions and countermeasures for the development of sports management education and the cultivation of professional talents.…”

Section: Literature Reviewmentioning

confidence: 99%

Research on the Application of Multimedia Image Processing Technology in Sports Sociology Education

2024

International Journal of Web-Based Learning and Teaching Technologies

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In order to cope with sports events, it is difficult for cameras to accurately extract exciting moments during the competition. This article constructs a multimedia information system for sports sociology education. In terms of methodology, low-density architectures are used to measure and encode sparse signals, and the signal is reconstructed at the receiving end. By calculating the marginal probability distribution of each variable node, the reconstructed image is obtained. The experimental results show that this method performs well in detecting lens mutations and gradients, with a higher recall rate than other algorithms. The accuracy, recall rate, and F-value indicators have significantly improved, reaching 6.328%, 4.27%, and 6.012%, respectively. This method is superior to existing game shot extraction methods and lays the foundation for further detecting exciting events in sports competitions. In summary, this study has important guiding significance for the application of multimedia image processing technology in the field of sports sociology education.

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Section: Literature Reviewmentioning

confidence: 99%

Research on the Application of Multimedia Image Processing Technology in Sports Sociology Education

2024

International Journal of Web-Based Learning and Teaching Technologies

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Fuzzy retrieval algorithm for film and television animation resource database based on deep neural network

Tan,

Tian

2023

Journal of Radiation Research and Applied Sciences

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RBF-Based 3D Visual Detection Method for Chinese Martial Art Wrong Movements

Wang

Pan

et al. 2022

Wireless Communications and Mobile Computing

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The accuracy of action detection is limited by the extracted action, and there are problems of high processing complexity and low efficiency. Therefore, a three-dimensional visual detection method of martial art wrong action based on RBF is proposed. After noise reduction and weighting processing of martial art action video images, a martial art action 3D visual transformation model is established. According to the 3D visual model, C3D features are used to represent martial art actions. The video is segmented using sparse coding to determine the detection range. RBF neural network model is established, and the combination of the above 3D visual model and network parameters is obtained by sample training to detect martial art wrong actions. The test method of the experimental results shows the detection of the research under the condition of different degrees of precision, an average of at least 5%, and the method of detection of high efficiency and stability.

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Digital Signal, Image and Video Processing for Emerging Multimedia Technology

Abstract: Recent developments in image/video-based deep learning technology have enabled new services in the field of multimedia and recognition technology [...]

Cited by 3 publications

References 28 publications

Research on the Application of Multimedia Image Processing Technology in Sports Sociology Education

Research on the Application of Multimedia Image Processing Technology in Sports Sociology Education

Fuzzy retrieval algorithm for film and television animation resource database based on deep neural network

RBF-Based 3D Visual Detection Method for Chinese Martial Art Wrong Movements

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