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Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.

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Bibliographic Details
Main Author: Mansoor Ebrahim,
Format: Thesis
Published: 2016
Subjects:
QA75 Electronic computers. Computer science
QA76 Computer software
Online Access:http://eprints.sunway.edu.my/781/
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id my.sunway.eprints.781
record_format eprints
spelling my.sunway.eprints.7812020-09-22T02:14:57Z http://eprints.sunway.edu.my/781/ Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing. Mansoor Ebrahim, QA75 Electronic computers. Computer science QA76 Computer software 2016-07-11 Thesis NonPeerReviewed Mansoor Ebrahim, (2016) Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing. ["eprint_fieldopt_thesis_type_phd" not defined] thesis, Sunway University.
institution Sunway University
building Sunway Campus Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Sunway University
content_source Sunway Institutional Repository
url_provider http://eprints.sunway.edu.my/
topic QA75 Electronic computers. Computer science
QA76 Computer software
spellingShingle QA75 Electronic computers. Computer science
QA76 Computer software
Mansoor Ebrahim,
Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
format Thesis
author Mansoor Ebrahim,
author_facet Mansoor Ebrahim,
author_sort Mansoor Ebrahim,
title Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_short Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_full Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_fullStr Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_full_unstemmed Low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
title_sort low-complexity single-view and multi-view visual compression for visual sensor networks using block-based compressive sensing.
publishDate 2016
url http://eprints.sunway.edu.my/781/
_version_ 1678595260678144000
score 13.211869

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