Summarization of egocentric videos: A comprehensive survey

The introduction of wearable video cameras (e.g., GoPro) in the consumer market has promoted video life-logging, motivating users to generate large amounts of video data. This increasing flow of first-person video has led to a growing need for automatic video summarization adapted to the characteris...

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Bibliographic Details
Main Authors: GARCIA DEL MOLINO, Ana, TAN, Cheston, LIM, Joo-Hwee, TAN, Ah-hwee
Format: text
Language:English
Published: Institutional Knowledge at Singapore Management University 2016
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Online Access:https://ink.library.smu.edu.sg/sis_research/5197
https://ink.library.smu.edu.sg/context/sis_research/article/6200/viewcontent/Summarization_of_Egocentric_Videos___A_Comprehensive_Survey.pdf
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Institution: Singapore Management University
Language: English
Description
Summary:The introduction of wearable video cameras (e.g., GoPro) in the consumer market has promoted video life-logging, motivating users to generate large amounts of video data. This increasing flow of first-person video has led to a growing need for automatic video summarization adapted to the characteristics and applications of egocentric video. With this paper, we provide the first comprehensive survey of the techniques used specifically to summarize egocentric videos. We present a framework for first-person view summarization and compare the segmentation methods and selection algorithms used by the related work in the literature. Next, we describe the existing egocentric video datasets suitable for summarization and, then, the various evaluation methods. Finally, we analyze the challenges and opportunities in the field and propose new lines of research.