Please use this identifier to cite or link to this item:
Title: Address-event video streaming over wireless sensor networks
Authors: Culurciello, Eugenio
Park, Joonhyuk
Savvides, Andreas 
Keywords: Algorithms
Image coding
Information analysis
Patient treatment
Address-event representation (AER)
Home-care patients
Zero computation
Video streaming
Issue Date: 2007
Publisher: IEEE
Source: Proceedings - IEEE International Symposium on Circuits and Systems, 2007, pp. 849-852
Abstract: We explore an algorithm and methodology for real-time video compression and communication over sensor network. Video is encoded using the address-event representation (AER) and using custom image sensors capable of detecting intensity-differences (motion) information. The work focuses on keeping a constant low bit-rate over sensor network channels based on ZigBee radios, so that the motion information in an image can degrade gracefully when the resolution or the image content is varied over time. We show that a 320×240 video stream can be compressed up to 50 times while being intelligible for interpreting motion patterns. This compression requires zero computation when the image is encoded with AER. The work will be applied to remote monitoring of home-care patients and surveillance.
Rights: © 2007 IEEE
Appears in Collections:Δημοσιεύσεις σε συνέδρια/Conference papers

Show full item record

Page view(s)

Last Week
Last month
checked on Jul 23, 2017

Google ScholarTM


This item is licensed under a Creative Commons License Creative Commons