The quality of boxing video is affected by many factors. For example, it needs to be compressed and encoded before transmission. In the process of transmission, it will encounter network conditions such as packet loss and jitter, which will affect the video quality. Combined with the proposed nine characteristic parameters affecting video quality, this paper proposes an architecture of video quality evaluation system. Aiming at the compression damage and transmission damage of leisure sports video, a video quality evaluation algorithm based on BP neural network (BPNN) is proposed. A specific Wushu video quality evaluation algorithm system is implemented. The system takes the result of feature engineering of 9 feature parameters of boxing video as the input and the subjective quality score of video as the training output. The mapping relationship is established by BPNN algorithm, and the objective evaluation quality of boxing video is finally obtained. The results show that using the neural network analysis model, the characteristic parameters of compression damage and transmission damage used in this paper can get better evaluation results. Compared with the comparison algorithm, the accuracy of the video quality evaluation method proposed in this paper has been greatly improved. The subjective characteristics of users are evaluated quantitatively and added to the objective video quality evaluation model in this paper, so as to make the video evaluation more accurate and closer to users.
Download full-text PDF |
Source |
|---|---|
| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC8723849 | PMC |
| http://dx.doi.org/10.1155/2021/9615290 | DOI Listing |
Publication Analysis
Top Keywords
Similar Publications
Perioperative Caregiver Education Using Animated Videos for Pediatric Tonsillectomy: A Randomized Controlled Study.
Otolaryngol Head Neck Surg
January 2025
Department of Otolaryngology-Head and Neck Surgery, McGill University Health Center, Montreal, Quebec, Canada.
Objective: Information technologies may enhance our traditional perioperative teaching by providing more comprehensive information beyond the clinical visit. This quality improvement study aims to assess whether the implementation of an animated surgical video improves caregiver satisfaction for children undergoing adenotonsillectomy.
Study Design: Prospective, single-blinded randomized-controlled trial was conducted between March 1 and October 1, 2023.
Scalable InGaN nanowire µ-LEDs: paving the way for next-generation display technology.
Natl Sci Rev
January 2025
Division of Advanced Materials Engineering, College of Engineering, Research Center for Advanced Materials Development (RCAMD), Jeonbuk National University (JBNU), Jeonju 54896, South Korea.
Ever-increasing demand for efficient optoelectronic devices with a small-footprinted on-chip light emitting diode has driven their expansion in self-emissive displays, from micro-electronic displays to large video walls. InGaN nanowires, with features like high electron mobility, tunable emission wavelengths, durability under high current densities, compact size, self-emission, long lifespan, low-power consumption, fast response, and impressive brightness, are emerging as the choice of micro-light emitting diodes (µLEDs). However, challenges persist in achieving high crystal quality and lattice-matching heterostructures due to composition tuning and bandgap issues on substrates with differing crystal structures and high lattice mismatches.
View Article and Find Full Text PDFDissemination of Decision Aids about Hip and Knee Osteoarthritis to Spanish-Speaking Adults through Social Media.
MDM Policy Pract
January 2025
Department of General Internal Medicine, Massachusetts General Hospital, Boston, MA, USA.
Background: Older adults and Hispanic individuals are increasingly turning to social media platforms to access health-related information. The purpose of this project was to evaluate a social media campaign to disseminate information from decision aids (DAs) on hip and knee osteoarthritis to Spanish-speaking adults.
Methods: A social media marketing team helped create an 8-mo campaign posted across 3 social media platforms to promote visits to a Web site offering free multilingual DAs for treatment of hip or knee osteoarthritis.
A novel multi-level 3D pose estimation framework for gait detection of Parkinson's disease using monocular video.
Front Bioeng Biotechnol
December 2024
Department of Rehabilitation Medicine, University of Hong Kong-Shenzhen Hospital, Shenzhen, China.
Introduction: Parkinson's disease (PD) is characterized by muscle stiffness, bradykinesia, and balance disorders, significantly impairing the quality of life for affected patients. While motion pose estimation and gait analysis can aid in early diagnosis and timely intervention, clinical practice currently lacks objective and accurate tools for gait analysis.
Methods: This study proposes a multi-level 3D pose estimation framework for PD patients, integrating monocular video with Transformer and Graph Convolutional Network (GCN) techniques.
Expert Consensus on Developing Information and Communication Technology-Based Patient Education Guidelines for Rheumatic Diseases in the Korea.
J Korean Med Sci
January 2025
Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, Seoul, Korea.
Background: This study aimed to identify key priorities for the development of guidelines for information and communication technology (ICT)-based patient education tailored to the needs of patients with rheumatic diseases (RDs) in the Republic of Korea, based on expert consensus.
Methods: A two-round modified Delphi study was conducted with 20 rheumatology, patient education, and digital health literacy experts. A total of 35 items covering 7 domains and 18 subdomains were evaluated.
Want AI Summaries of new PubMed Abstracts delivered to your In-box?
Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!