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arXiv · 1708.04146

Towards Semantic Fast-Forward and Stabilized Egocentric Videos

Michel Melo Silva·Washington Luis Souza Ramos·Joao Pedro Klock Ferreira·Mario Fernando Montenegro Campos·Erickson Rangel Nascimento
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Abstract

The emergence of low-cost personal mobiles devices and wearable cameras and the increasing storage capacity of video-sharing websites have pushed forward a growing interest towards first-person videos. Since most of the recorded videos compose long-running streams with unedited content, they are tedious and unpleasant to watch. The fast-forward state-of-the-art methods are facing challenges of balancing the smoothness of the video and the emphasis in the relevant frames given a speed-up rate. In this work, we present a methodology capable of summarizing and stabilizing egocentric videos by extracting the semantic information from the frames. This paper also describes a dataset collection with several semantically labeled videos and introduces a new smoothness evaluation metric for egocentric videos that is used to test our method.

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Michel Melo Silva, Washington Luis Souza Ramos, Joao Pedro Klock Ferreira, Mario Fernando Montenegro Campos, Erickson Rangel Nascimento. 2017-08-16. Towards Semantic Fast-Forward and Stabilized Egocentric Videos. https://doi.org/10.1007/978-3-319-46604-0_40

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