Paper Info
Title
Harvest the Information from Multimedia Big Data in Global Camera Networks
Abstract
Many network cameras have been deployed for various purposes, such as monitoring traffic, watching natural scenes, and observing weather. The data from these cameras may provide valuable information about the world. This paper describes the unexplored opportunities and challenges to harvest the information in the global camera networks. A cloud-based system is proposed to harvest the information from many cameras in an efficient way. This system provides an application programming interface (API) that allows users to analyze the multimedia big data from many cameras simultaneously. Users may also store the data for off-line analysis. This system uses the cloud for computing and storage. Experiments demonstrate the ability to process millions of images from thousands of cameras within several hours.
Year
DOI
Venue
2015
10.1109/BigMM.2015.55
2015 IEEE International Conference on Multimedia Big Data
Keywords
Field
DocType
multimedia big data,camera networks,cloud computing,application programming interface
World Wide Web,Computer science,Camera network,Transform coding,Application programming interface,Big data,Multimedia,Multimedia big data,Cloud computing
Conference
Citations 
PageRank 
References 
3
0.50
4
Authors
3
Name
Order
Citations
PageRank
Wei-Tsung Su141.22
Yung-Hsiang Lu22165161.51
Ahmed S. Kaseb3134.27