Title :
User-generated-video summarization using Sparse Modelling
Author :
Yulong Liu ; Huaping Liu ; Yunhui Liu ; Fuchun Sun
Author_Institution :
Dept. of Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
Abstract :
A novel key-frame extraction method is proposed in this paper. Our method focused on user-generated-videos which were captured by smartphones or tablets or other smart devices which can record acceleration values and orientation values during video capturing. Our method use Dissimilarity-based Sparse Modeling Representative Selection(DSMRS) on orientation information to extract key-frames instead of visual features used by traditional key-frame extraction methods. Acceleration value is used in our method to exclude outliers.
Keywords :
feature extraction; video signal processing; DSMRS; acceleration value; dissimilarity-based sparse modeling representative selection; key-frame extraction method; orientation information; orientation value; smart devices; smart phones; sparse modelling; tablet computers; user-generated-video summarization; video capturing; visual features; Acceleration; Data mining; Feature extraction; Smart phones; Temperature sensors; Visualization;
Conference_Titel :
Neural Networks (IJCNN), 2014 International Joint Conference on
Conference_Location :
Beijing
Print_ISBN :
978-1-4799-6627-1
DOI :
10.1109/IJCNN.2014.6889581
