Wearable cameras allow us to capture large amount of video or still images in an automatic and implicit manner. However, the only necessary images should be filtered out from the captured data that contains meaningless and/or redundant information. In this paper, we propose a method to identify a set of still images by audio and video data, which is intended to let users feel pleasurable when they watch the images later.
CITATION STYLE
Kinoshita, E., & Fujinami, K. (2017). Impressive picture selection from wearable camera toward pleasurable recall of group activities. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 10279 LNCS, pp. 446–456). Springer Verlag. https://doi.org/10.1007/978-3-319-58700-4_36
Mendeley helps you to discover research relevant for your work.