Autonomous video compression system for environmental monitoring

[EN] The monitoring of natural environments is becoming a very controversial topic because people are more and more concerned about preserving and monitoring these natural spaces. The monitoring tasks are usually complemented with a network infrastructure composed by cameras and network devices that...

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Autores: Mateos-Cañas, Irene, Sendra, Sandra|||0000-0001-9556-9088, Lloret, Jaime|||0000-0002-0862-0533, Jimenez, Jose M.|||0000-0002-3688-7235
Tipo de recurso: artículo
Fecha de publicación:2017
País:España
Institución:Universitat Politècnica de València (UPV)
Repositorio:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
Idioma:inglés
OAI Identifier:oai:riunet.upv.es:10251/148866
Acceso en línea:https://riunet.upv.es/handle/10251/148866
Access Level:acceso abierto
Palabra clave:Bandwidth
Color spectrum
Compression codec
Decision algorithm
Delay
Jitter
Packet-loss
Quality of experience (QoE)
Quality of service (QoS)
RGB level
RTP Transmission
Transcoding
Video codec
Video monitoring
INGENIERIA TELEMATICA
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spelling Autonomous video compression system for environmental monitoringMateos-Cañas, IreneSendra, Sandra|||0000-0001-9556-9088Lloret, Jaime|||0000-0002-0862-0533Jimenez, Jose M.|||0000-0002-3688-7235BandwidthColor spectrumCompression codecDecision algorithmDelayJitterPacket-lossQuality of experience (QoE)Quality of service (QoS)RGB levelRTP TransmissionTranscodingVideo codecVideo monitoringINGENIERIA TELEMATICA[EN] The monitoring of natural environments is becoming a very controversial topic because people are more and more concerned about preserving and monitoring these natural spaces. The monitoring tasks are usually complemented with a network infrastructure composed by cameras and network devices that make easy the remote visualization of the monitored environments. This work presents the design, implementation and test of an autonomous video compression system for environmental monitoring. The system is based on a server in charge of collecting the videos and analyzing the network constraints. As a function of the measured parameters and the predominant color of the requested video, the system determines the best compression codec for transmitting the video through the network. Additionally, the server should run an algorithm developed in Python and MATLAB(c) in charge of analyzing the RED-GREEN-BLUE (RGB) components of the video and performing the transcoding tasks. The system has been tested with different videos and the results of Quality of Service (QoS) and Quality of Experience (QoE) shows that H264 is a good option when the predominant color of videos are black or white while XVID is one the codecs that offer interesting results when colors as red, green or blue are predominant in the video.This work has been supported by the Programa para la Formación de Personal Investigador (FPI-2015-S2-884) by the Universitat Politecnica de Valencia . The research leading to these results has received funding from la Caixa Foundation and Triptolemos FoundationMacrothink InstituteDepartamento de ComunicacionesEscuela Politécnica Superior de GandiaInstituto de Investigación para la Gestión Integrada de Zonas CosterasTriptolemos FoundationUniversitat Politècnica de ValènciaFundació Bancària Caixa d'Estalvis i Pensions de BarcelonaRepositorio Institucional de la Universitat Politècnica de València Riunet20172017-06-30journal articlehttp://purl.org/coar/resource_type/c_6501VoRhttp://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleapplication/pdfhttps://riunet.upv.es/handle/10251/148866reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valénciainstname:Universitat Politècnica de València (UPV)InglésengUniversitat Politècnica de València https://doi.org/10.13039/501100004233 FPI-2015-S2-884open accesshttp://purl.org/coar/access_right/c_abf2Reconocimiento (by)http://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:riunet.upv.es:10251/1488662026-06-13T07:49:27Z
dc.title.none.fl_str_mv Autonomous video compression system for environmental monitoring
title Autonomous video compression system for environmental monitoring
spellingShingle Autonomous video compression system for environmental monitoring
Mateos-Cañas, Irene
Bandwidth
Color spectrum
Compression codec
Decision algorithm
Delay
Jitter
Packet-loss
Quality of experience (QoE)
Quality of service (QoS)
RGB level
RTP Transmission
Transcoding
Video codec
Video monitoring
INGENIERIA TELEMATICA
title_short Autonomous video compression system for environmental monitoring
title_full Autonomous video compression system for environmental monitoring
title_fullStr Autonomous video compression system for environmental monitoring
title_full_unstemmed Autonomous video compression system for environmental monitoring
title_sort Autonomous video compression system for environmental monitoring
dc.creator.none.fl_str_mv Mateos-Cañas, Irene
Sendra, Sandra|||0000-0001-9556-9088
Lloret, Jaime|||0000-0002-0862-0533
Jimenez, Jose M.|||0000-0002-3688-7235
author Mateos-Cañas, Irene
author_facet Mateos-Cañas, Irene
Sendra, Sandra|||0000-0001-9556-9088
Lloret, Jaime|||0000-0002-0862-0533
Jimenez, Jose M.|||0000-0002-3688-7235
author_role author
author2 Sendra, Sandra|||0000-0001-9556-9088
Lloret, Jaime|||0000-0002-0862-0533
Jimenez, Jose M.|||0000-0002-3688-7235
author2_role author
author
author
dc.contributor.none.fl_str_mv Departamento de Comunicaciones
Escuela Politécnica Superior de Gandia
Instituto de Investigación para la Gestión Integrada de Zonas Costeras
Triptolemos Foundation
Universitat Politècnica de València
Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona
Repositorio Institucional de la Universitat Politècnica de València Riunet
dc.subject.none.fl_str_mv Bandwidth
Color spectrum
Compression codec
Decision algorithm
Delay
Jitter
Packet-loss
Quality of experience (QoE)
Quality of service (QoS)
RGB level
RTP Transmission
Transcoding
Video codec
Video monitoring
INGENIERIA TELEMATICA
topic Bandwidth
Color spectrum
Compression codec
Decision algorithm
Delay
Jitter
Packet-loss
Quality of experience (QoE)
Quality of service (QoS)
RGB level
RTP Transmission
Transcoding
Video codec
Video monitoring
INGENIERIA TELEMATICA
description [EN] The monitoring of natural environments is becoming a very controversial topic because people are more and more concerned about preserving and monitoring these natural spaces. The monitoring tasks are usually complemented with a network infrastructure composed by cameras and network devices that make easy the remote visualization of the monitored environments. This work presents the design, implementation and test of an autonomous video compression system for environmental monitoring. The system is based on a server in charge of collecting the videos and analyzing the network constraints. As a function of the measured parameters and the predominant color of the requested video, the system determines the best compression codec for transmitting the video through the network. Additionally, the server should run an algorithm developed in Python and MATLAB(c) in charge of analyzing the RED-GREEN-BLUE (RGB) components of the video and performing the transcoding tasks. The system has been tested with different videos and the results of Quality of Service (QoS) and Quality of Experience (QoE) shows that H264 is a good option when the predominant color of videos are black or white while XVID is one the codecs that offer interesting results when colors as red, green or blue are predominant in the video.
publishDate 2017
dc.date.none.fl_str_mv 2017
2017-06-30
dc.type.none.fl_str_mv journal article
http://purl.org/coar/resource_type/c_6501
VoR
http://purl.org/coar/version/c_970fb48d4fbd8a85
dc.type.openaire.fl_str_mv info:eu-repo/semantics/article
format article
dc.identifier.none.fl_str_mv https://riunet.upv.es/handle/10251/148866
url https://riunet.upv.es/handle/10251/148866
dc.language.none.fl_str_mv Inglés
eng
language_invalid_str_mv Inglés
language eng
dc.relation.none.fl_str_mv Universitat Politècnica de València https://doi.org/10.13039/501100004233 FPI-2015-S2-884
dc.rights.none.fl_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
dc.rights.openaire.fl_str_mv info:eu-repo/semantics/openAccess
rights_invalid_str_mv open access
http://purl.org/coar/access_right/c_abf2
Reconocimiento (by)
http://creativecommons.org/licenses/by/4.0/
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Macrothink Institute
publisher.none.fl_str_mv Macrothink Institute
dc.source.none.fl_str_mv reponame:RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
instname:Universitat Politècnica de València (UPV)
instname_str Universitat Politècnica de València (UPV)
reponame_str RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
collection RiuNet. Repositorio Institucional de la Universitat Politécnica de Valéncia
repository.name.fl_str_mv
repository.mail.fl_str_mv
_version_ 1869403079436140544
score 15,300719

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