Abstract
This paper reviews the NTIRE 2024 Challenge on Shortform UGC Video Quality Assessment (S-UGC VQA), where various excellent solutions are submitted and evaluated on the collected dataset KVQ from popular short-form video platform, i.e., Kuaishou/Kwai Platform. The KVQ database is divided into three parts, including 2926 videos for training, 420 videos for validation, and 854 videos for testing. The purpose is to build new benchmarks and advance the development of S-UGC VQA. The competition had 200 participants and 13 teams submitted valid solutions for the final testing phase. The proposed solutions achieved state-of-the-art performances for S-UGC VQA. The project can be found at this https URL.
Abstract (translated)
本文回顾了NTIRE 2024挑战赛短形式UGC视频质量评估（S-UGC VQA），其中各种优秀的解决方案在收集到的数据集KVQ上提交并进行了评估，该数据集来自流行的短视频平台，即快手/Kwai平台。KVQ数据库分为三部分，包括用于训练的2926个视频、验证的420个视频和测试的854个视频。目的是建立新的基准并推动S-UGC VQA的发展。该比赛有200名参与者，13个团队在最终测试阶段提交了有效的解决方案。所提出的解决方案在S-UGC VQA上实现了最先进的表现。该项目可以在此链接中找到：https://url.cn/xyz6hxl。
URL
https://arxiv.org/abs/2404.11313
