Video understanding is a popular field in computer vision and AI where we aim to learn/assess the world around us from video footage and can benefit many real-world applications, such as training and education, patient monitoring, sports assessment, and security systems. By automating these applications through video analysing, not only we can save money and time for their users, but also, we can decrease human errors. Despite the recent advances in the other areas of computer vision, e.g. image analysis, video understanding is still an unsolved problem and is considered a very challenging task.
The proposed workshop on video understanding aims to address the challenges in this field by making the following contributions:
Potential topics include, but are not limited to:
Papers will be limited to 9 pages according to the BMVC format (c.f. main conference authors guidelines). Papers will be published in BMVC 2024 workshop proceedings.
All the papers should be submitted using CMT website https://cmt3.research.microsoft.com/VUABMVC2024.
The program for VUA 2024 will be announced closer to the workshop date. Please check back later for updates.
Our invited speakers for VUA 2024 will be announced soon. Please check back later for updates.
University of Surrey, United Kingdom
University of Surrey, United Kingdom
University of Surrey, United Kingdom
University of Surrey, United Kingdom
BBC R&D, United Kingdom
University of Surrey, United Kingdom
University of Surrey, United Kingdom
University of Surrey, United Kingdom
University of Surrey, United Kingdom
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