We collected a dataset of egocentric videos considering two different concepts as semantic, face for the videos recorded while walking, and pedestrian for video recording in car or bike. We acquired the dataset using a GoPro Hero 3+ camera mounted on a helmet using video resolution of 720p or 1080p. For each video, the content of the semantic information is controlled to be present in approximately 0%, 25%, 50%, or 75% of the frames.
dataset_new

Citation

@InBook{Silva2016,
  Title     = {Towards Semantic Fast-Forward and Stabilized Egocentric Videos},
  Booktitle = {International Workshop on Egocentric Perception, Interaction and Computing (EPIC) at European Conference on Computer Vsision (ECCV)},  
  Author    = {Silva, Michel Melo and Ramos, Washington Luis Souza and Ferreira, Joao Pedro Klock and Campos, Mario Fernando Montenegro and 
               Nascimento, Erickson Rangel},
  Year      = {2016},
  Address   = {Amsterdam, NL},
  month     = {Oct.},
  Pages     = {557--571},
  Doi       = {10.1007/978-3-319-46604-0_40},
  ISBN      = {978-3-319-46604-0}
}

Video Info

Detailed video information such as percentage of Semantic Information, Camera Resolution, FPS, Duration, and Device.

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