体育计算视频:大规模数据分析的挑战Computational Video for Sports: Challenges for Large Scale Data Analysis |
|
课程网址: | https://videolectures.net/videos/kdd2016_essa_computational_video |
主讲教师: | Irfan Essa |
开课单位: | KDD 2016研讨会 |
开课时间: | 2016-10-12 |
课程语种: | 英语 |
中文简介: | 视频技术对体育产生了巨大的影响。大多数职业体育赛事都是用视频拍摄的,被广播,并被许多人消费。视频也正在成为一种传感器,用于测量和分析运动表现、整体比赛,并通常用作判断球场上通话的助手。在本次演讲中,我将讨论体育视频分析方面取得的一些具体进展。计算机视觉技术现在广泛应用于体育分析中,以提取具有重要价值的数据、见解和推论。随着越来越多的此类数据可用,特别是随着相机的普及,我将强调一些挑战。我将讨论如何将计算机视觉中的一些基础工作应用于体育视频分析这一日益严重的问题,并展示我们在跟踪、注册和摘要方面的一些最新工作示例。 |
课程简介: | Video technologies have had a huge impact on sports. Most professional sports events are captured in video, are broadcast and are consumed by many. Video is also becoming a sensor used to measure and analyze athletic performances, overall games, and commonly used as an aide for judging calls made on the field. In this talk about, I will discuss some of the specific advances made in sports video analysis. Computer vision techniques are now used widely in sports analysis to extract data, insights, and inferences of much value. I will highlight some challenges as more and more of such data is becoming available, especially with growing pervasiveness of cameras. I will discuss how some foundational work in computer vision can be brought to bear on this growing problem of sports video analysis and showcase a few recent examples of our work on tracking, registration, and summarization. |
关 键 词: | 数据分析; 分析运动表现; 计算机视觉技术 |
课程来源: | 视频讲座网 |
数据采集: | 2025-01-07:liyq |
最后编审: | 2025-01-07:liyq |
阅读次数: | 12 |