Paper Info
Title
Compress-then-analyze vs. analyze-then-compress: Two paradigms for image analysis in visual sensor networks
Abstract
We compare two paradigms for image analysis in visual sensor networks (VSN). In the compress-then-analyze (CTA) paradigm, images acquired from camera nodes are compressed and sent to a central controller for further analysis. Conversely, in the analyze-then-compress (ATC) approach, camera nodes perform visual feature extraction and transmit a compressed version of these features to a central controller. We focus on state-of-the-art binary features which are particularly suitable for resource-constrained VSNs, and we show that the “winning” paradigm depends primarily on the network conditions. Indeed, while the ATC approach might be the only possible way to perform analysis at low available bitrates, the CTA approach reaches the best results when the available bandwidth enables the transmission of high-quality images.
Year
DOI
Venue
2013
10.1109/MMSP.2013.6659301
Multimedia Signal Processing
Keywords
Field
DocType
cameras,data compression,feature extraction,image coding,image retrieval,image sensors,ATC,CTA,analyze-then-compress,camera nodes,central controller,compress-then-analyze,compressed version,high-quality images,image analysis,resource-constrained VSN,state-of-the-art binary features,visual feature extraction,visual sensor networks,winning paradigm
Computer vision,Image sensor,Pattern recognition,Feature detection (computer vision),Computer science,Visual sensor network,Image retrieval,Feature extraction,Artificial intelligence,Data compression,Wireless sensor network,Visual Word
Conference
ISSN
Citations 
PageRank 
2163-3517
26
0.94
References 
Authors
15
4
Name
Order
Citations
PageRank
Alessandro Redondi128025.99
Luca Baroffio223614.46
Matteo Cesana382663.33
Marco Tagliasacchi486968.63