Exploring multi-camera views from user-generated sports videos

The proliferation of mobile devices with video recording capabilities has revolutionized the creation, sharing, and consumption of audiovisual content, turning user-generated video (UGV) platforms into major data sources. 

Despite this growth, there is a notable gap in the availability of public datasets featuring multi-angle recordings of sports events captured by various mobile cameras. This led to the creation of the MUVY Dataset, with the name stemming from Multiview User-generated Videos from YouTube.

The dataset offers a diverse collection of sports videos from multiple perspectives, without restrictions on video size. In its first version, it covers sports like, American football, artistic gymnastics, athletics, basketball, tennis, and cricket.

The dataset addresses common challenges in user-generated videos, such as shaking, occlusions, blurring, and abrupt movements. Each video is accompanied by metadata including camera identification, YouTube URLs, extracted frames, and object annotations.