Paper Info
Title
Multi-View Surveillance Video Summarization via Joint Embedding and Sparse Optimization.
Abstract
Most traditional video summarization methods are designed to generate effective summaries for single-view videos, and thus, they cannot fully exploit the complicated intra- and inter-view correlations in summarizing multi-view videos in a camera network. In this paper, with the aim of summarizing multi-view videos, we introduce a novel unsupervised framework via joint embedding and sparse represen...
Year
DOI
Venue
2017
10.1109/TMM.2017.2708981
IEEE Transactions on Multimedia
Keywords
DocType
Volume
Feature extraction,Cameras,Correlation,Optimization,Surveillance,Linear programming,Sparse matrices
Journal
19
Issue
ISSN
Citations 
9
1520-9210
9
PageRank 
References 
Authors
0.45
47
2
Name
Order
Citations
PageRank
Rameswar Panda18514.02
Amit K. Roy Chowdhury2115373.96