DocumentCode
3707417
Title
A multi-view video synopsis framework
Author
Ansuman Mahapatra;Pankaj K Sa;Banshidhar Majhi
Author_Institution
Department of Computer Science and Engineering, National Institute of Technology Rourkela, Rourkela - 769 008, Odisha, India
fYear
2015
Firstpage
1260
Lastpage
1264
Abstract
In this paper, a simple framework for multi-view video synopsis is introduced by combining both the benefits of video summarization and video synopsis. While video summarization includes the important actions of an original video, video synopsis, on the other hand, simultaneously displays multiple objects from different intervals of time. To create a multi-view video synopsis, the objects in the field-of-views of all the cameras are shown in a common background plane. All the moving objects are detected, prioritized based on their actions, and only important objects are included in the final synopsis video. The proposed framework is evaluated using two datasets and is compared with existing techniques, which shows a significant reduction in synopsis length with the proper inclusion of important objects.
Keywords
"Cameras","Kernel","Positron emission tomography","Feature extraction","Surveillance","Optimization","Quality assessment"
Publisher
ieee
Conference_Titel
Image Processing (ICIP), 2015 IEEE International Conference on
Type
conf
DOI
10.1109/ICIP.2015.7351002
Filename
7351002
Link To Document