EOAD (Egocentric Outdoor Activity Dataset)

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Arabaci M. A., Sürer E., Temizel A.

Diğer, ss.1-5, 2023

• Yayın Türü: Diğer Yayınlar / Diğer
• Basım Tarihi: 2023
• Sayfa Sayıları: ss.1-5
• Orta Doğu Teknik Üniversitesi Adresli: Evet

Özet

EOAD is a collection of videos captured by wearable cameras, mostly of sports activities. It contains both visual and audio modalities.

It was initiated by the HUJI and FPVSum egocentric activity datasets. However, the number of samples and diversity of activities for HUJI and FPVSum were insufficient. Therefore, we combined these datasets and populated them with new YouTube videos.

The selection of videos was based on the following criteria:

• The videos should not include text overlays.
• The videos should contain natural sound (no external music)
• The actions in videos should be continuous (no cutting the scene or jumping in time)

Video samples were trimmed depending on scene changes for long videos (such as driving, scuba diving, and cycling). As a result, a video may have several clips depicting egocentric actions. Hence, video clips were extracted from carefully defined time intervals within videos. The final dataset includes video clips with a single action and natural audio information.