Paper Info
Title
Video Clip Growth: A General Algorithm for Multi-view Video Summarization.
Abstract
Plenty of multi-view video processing tasks such as video abstract, key-frame extraction and camera selection focus on presenting to audiences the most significant information in a certain period of time. Basically, the main idea of these techniques is to show audiences the video segments or frames that have the highest spatio-temporal significances. However, existing approaches are not enough to deal with these tasks with a general framework. In this paper, we develop a novel bottom-up algorithm called video clip growth that generates multi-view video abstract through an accurate frames adding process, which allows users to customize the length of the video summaries. This approach firstly uses an energy function to evaluate each frame's importance from both time and space dimension. Then video clips and frames are gradually selected according to their energy rank, until reaching the target length. Besides, our algorithm can also extend to several multi-view video processing tasks. The experimental results on the Lobby and Office dataset have demonstrated the effectiveness of our algorithm.
Year
DOI
Venue
2018
10.1007/978-3-030-00764-5_11
ADVANCES IN MULTIMEDIA INFORMATION PROCESSING, PT III
Keywords
Field
DocType
Multi-view video,Video summarization,Key-frame extraction,Camera selection
Computer vision,Automatic summarization,Video processing,General algorithm,Computer science,Artificial intelligence,CLIPS
Conference
Volume
ISSN
Citations 
11166
0302-9743
0
PageRank 
References 
Authors
0.34
12
5
Name
Order
Citations
PageRank
Gang Pan101.35
Xingming Qu200.34
Liangfu Lv3120.93
Shuai Guo413.05
Di Sun575.86