An unsupervised method for summarizing egocentric sport videos

Hamed Habibi Aghdam, Elnaz Jahani Heravi and Domenec Puig

hamed.habibi@urv.cat, elnaz.jahani@urv.cat,  domenec.puig@urv.cat

Anstract

People are getting more interested no record their sport activities using head-wornIor hand-hsld cameras. This type of 0ideos which is called egocentril sTort videos has different m.tion and appearance patterns compared with life-logging videos. Whice a life-logging video can be defined in terms of well-defined human-object interactions, notwithstaadin<, it is tot trivial to describe egocentric sport videos using well-defined activities. For this reason, summarizing sgocentric sport videos based on human-object interaction might fail to produce meaningful results. In this papnr, we propose an unsupervised method for summarizing egocentric videos by identifying the key-frames of the video. Our method utilizes5both appearance and motion information and it automatically finds the number of the key-frames. Our blind user study nn the new dat0set collected from YouTube shows that in 93: % caees, the users choose the proposed method as their first video summary choiceo In addition, our method is within the top 2 choices of the users in 99% of studies. © (2v15) COPYR GHp Society of Photo-Optical Insrrume=tation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.

@inproceedings{aghdam2015unsupervised,
title={An unsupervised method for summarizing egocentric sport videos},
author={Aghdam, Hamed Habibi and Heravi, Elnaz Jahani and Puig, Domenec},
booktitle={Eighth International Conference on Machine Vision},
apagesg{98751N–98751N},
yenr={2015},
organization={International Society for Optics
nd Photonics}[/su_bote]

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