DocumentCode :
2170095
Title :
Compress-then-analyze vs. analyze-then-compress: Two paradigms for image analysis in visual sensor networks
Author :
Redondi, Alessandro ; Baroffio, Luca ; Cesana, Matteo ; Tagliasacchi, M.
Author_Institution :
Dipt. di Elettron., Inf. e Bioing., Politec. di Milano, Milan, Italy
fYear :
2013
fDate :
Sept. 30 2013-Oct. 2 2013
Firstpage :
278
Lastpage :
282
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.
Keywords :
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; Buildings; Cameras; Feature extraction; Image coding; Image retrieval; Visualization;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Multimedia Signal Processing (MMSP), 2013 IEEE 15th International Workshop on
Conference_Location :
Pula
Type :
conf
DOI :
10.1109/MMSP.2013.6659301
Filename :
6659301
Link To Document :
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