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Proceedings Paper

An unsupervised method for summarizing egocentric sport videos
Author(s): Hamed Habibi Aghdam; Elnaz Jahani Heravi; Domenec Puig
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Paper Abstract

People are getting more interested to record their sport activities using head-worn or hand-held cameras. This type of videos which is called egocentric sport videos has different motion and appearance patterns compared with life-logging videos. While a life-logging video can be defined in terms of well-defined human-object interactions, notwithstanding, it is not trivial to describe egocentric sport videos using well-defined activities. For this reason, summarizing egocentric sport videos based on human-object interaction might fail to produce meaningful results. In this paper, we propose an unsupervised method for summarizing egocentric videos by identifying the key-frames of the video. Our method utilizes both appearance and motion information and it automatically finds the number of the key-frames. Our blind user study on the new dataset collected from YouTube shows that in 93:5% cases, the users choose the proposed method as their first video summary choice. In addition, our method is within the top 2 choices of the users in 99% of studies.

Paper Details

Date Published: 8 December 2015
PDF: 5 pages
Proc. SPIE 9875, Eighth International Conference on Machine Vision (ICMV 2015), 98751N (8 December 2015); doi: 10.1117/12.2228883
Show Author Affiliations
Hamed Habibi Aghdam, Univ. Rovira i Virgili (Spain)
Elnaz Jahani Heravi, Univ. Rovira i Virgili (Spain)
Domenec Puig, Univ. Rovira i Virgili (Spain)


Published in SPIE Proceedings Vol. 9875:
Eighth International Conference on Machine Vision (ICMV 2015)
Antanas Verikas; Petia Radeva; Dmitry Nikolaev, Editor(s)

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