This video is frequently cited in papers developing 3D Convolutional Neural Networks (3D CNNs) and Two-Stream Networks for identifying human movements. Other Notable Papers Using This Data
(Simonyan & Zisserman, 2014) – This paper introduced the concept of using both spatial (RGB) and temporal (optical flow) streams.
UCF101: A Dataset of 101 Human Action Classes From Videos in the Wild vin8.mp4
Khurram Soomro, Amir Roshan Zamir, and Mubarak Shah Published: CRCV-TR-12-01, 2012 Key Details about "vin8.mp4"
(Tran et al., 2015) – Often referred to as the C3D paper, which set a standard for using UCF101 samples like vin8.mp4 for feature learning. This video is frequently cited in papers developing
In the context of the UCF101 dataset, the naming convention v_ActionName_gXX_cYY.avi (often converted to .mp4 in modern repositories) helps identify the specific clip:
If you are looking for the architectures that made these videos famous in AI research, you should also look at: In the context of the UCF101 dataset, the
The "8" identifies it as part of the 8th group of videos for that specific action.