期刊
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS
卷 47, 期 1, 页码 65-76出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/THMS.2016.2623480
关键词
Egocentric vision; first-person view; survey; video summarization
资金
- A*STAR JCO REVIVE project [1335h00098]
- Singapore International Graduate Award (SINGA)
- Obra Social La Caixa and Casa Asia Fellowship
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.
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