G4_019.mp4 Here

: Usually involves everyday outdoor or indoor movement (walking, driving, or hand-held camera motion) designed to provide naturalistic motion blur.

: Often captured at 240 fps to allow for artificial blur generation (by averaging consecutive sharp frames). g4_019.mp4

: It is also seen in datasets like MPII Cooking or similar ego-centric (first-person) video studies where subjects are numbered (e.g., Guest 4, Sequence 19). Common Characteristics (Features) : Usually involves everyday outdoor or indoor movement

: A widely used benchmark for dynamic scene deblurring. In this dataset, files follow a gx_yyy.mp4 format, where g represents a sequence group and the number refers to a specific captured scene. files follow a gx_yyy.mp4 format