Publication Type
::
Inproceedings
Title
::
A multi-view video synopsis framework
Book Title
::
2015 IEEE International Conference on Image Processing (ICIP)
Author(s)
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Ansuman Mahapatra, Pankaj Kumar Sa, and Banshidhar Majhi
Organization
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Quebec City Convention Centre
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.
Address
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Quebec City Convention Centre
900 Bd Rene Levesque East Quebec City, Canada
Note
::
2015 IEEE International Conference on Image Processing (ICIP) 27-30 september 2015 Quebec City, Canada, Conference code
30522
Keywords
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video cameras; video signal processing; camera; multi-view video synopsis; multiview video synopsis; synopsis length; video summarization; Multi-camera Network; Multi-view video; Video Summarization; Video Synopsis; Cameras; Feature extraction; Kernel; Optimization; Surveillance