DoMSEV (Dataset of Multimodal Semantic Egocentric Video)
Introduced by Silva et al. in A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person Videos
The Dataset of Multimodal Semantic Egocentric Video (DoMSEV) contains 80-hours of multimodal (RGB-D, IMU, and GPS) data related to First-Person Videos with annotations for recorder profile, frame scene, activities, interaction, and attention.
Source: A Weighted Sparse Sampling and Smoothing Frame Transition Approach for Semantic Fast-Forward First-Person VideosPapers
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