%0 Conference Proceedings
%T Visual Summary of Egocentric Photostreams by Representative Keyframes
%A Marc Bolaños
%A R. Mestre
%A Estefania Talavera
%A Xavier Giro
%A Petia Radeva
%B IEEE International Conference on Multimedia and Expo ICMEW2015
%D 2015
%N 978-1-4799-7079-7
%@ 978-1-4799-7079-7
%F Marc Bolaños2015
%O MILAB
%O exported from refbase (http://refbase.cvc.uab.es/show.php?record=2638), last updated on Thu, 19 Mar 2020 10:39:35 +0100
%X Building a visual summary from an egocentric photostream captured by a lifelogging wearable camera is of high interest for different applications (e.g. memory reinforcement). In this paper, we propose a new summarization method based on keyframes selection that uses visual features extracted bymeans of a convolutional neural network. Our method applies an unsupervised clustering for dividing the photostreams into events, and finally extracts the most relevant keyframe for each event. We assess the results by applying a blind-taste test on a group of 20 people who assessed the quality of thesummaries.
%K egocentric
%K lifelogging
%K summarization
%K keyframes
%U http://dx.doi.org/10.1109/ICMEW.2015.7169863
%P 1-6