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Computer
Article . 2014 . Peer-reviewed
License: IEEE Copyright
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Article . 2014
Data sources: DBLP
https://dx.doi.org/10.1109/mc....
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Toward Compressive Camera Networks

descriptionPublicationkeyboard_double_arrow_right Article 01 May 2014Publisher:Institute of Electrical and Electronics Engineers (IEEE)Journal:Computer, volume 47, pages 52-59 (issn: 0018-9162, eissn: 1558-0814, Copyright policy )
Authors: Kaushik Mitra; Ashok Veeraraghavan; Aswin C. Sankaranarayanan; Richard G. Baraniuk;

doi: 10.1109/mc.2014.139

Toward Compressive Camera Networks

Abstract

Compressive sensing lets researchers reconstruct high-resolution data from fewer samples, which could alleviate the data deluge in large-scale and multimodal camera networks. The Web extra at http://youtu.be/oVwdIr836WI is a video demonstrating how compressive sensing lets researchers reconstruct high-resolution data from fewer samples, which could alleviate the data deluge in large-scale multimodal camera networks.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
3
Average
Average
Average
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