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Autonomous video compression system for environmental monitoring

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Autonomous video compression system for environmental monitoring

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dc.contributor.author Mateos-Cañas, Irene es_ES
dc.contributor.author Sendra, Sandra es_ES
dc.contributor.author Lloret, Jaime es_ES
dc.contributor.author Jimenez, Jose M. es_ES
dc.date.accessioned 2020-07-30T03:34:06Z
dc.date.available 2020-07-30T03:34:06Z
dc.date.issued 2017-06-30 es_ES
dc.identifier.issn 1943-3581 es_ES
dc.identifier.uri http://hdl.handle.net/10251/148866
dc.description.abstract [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. es_ES
dc.description.sponsorship 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 Foundation es_ES
dc.language Inglés es_ES
dc.publisher Macrothink Institute es_ES
dc.relation UPV/FPI-2015-S2-884 es_ES
dc.relation.ispartof Network Protocols and Algorithms es_ES
dc.rights Reconocimiento (by) es_ES
dc.subject Bandwidth es_ES
dc.subject Color spectrum es_ES
dc.subject Compression codec es_ES
dc.subject Decision algorithm es_ES
dc.subject Delay es_ES
dc.subject Jitter es_ES
dc.subject Packet-loss es_ES
dc.subject Quality of experience (QoE) es_ES
dc.subject Quality of service (QoS) es_ES
dc.subject RGB level es_ES
dc.subject RTP Transmission es_ES
dc.subject Transcoding es_ES
dc.subject Video codec es_ES
dc.subject Video monitoring es_ES
dc.subject.classification INGENIERIA TELEMATICA es_ES
dc.title Autonomous video compression system for environmental monitoring es_ES
dc.type Artículo es_ES
dc.identifier.doi 10.5296/npa.v9i1-2.12386 es_ES
dc.rights.accessRights Abierto es_ES
dc.contributor.affiliation Universitat Politècnica de València. Departamento de Comunicaciones - Departament de Comunicacions es_ES
dc.contributor.affiliation Universitat Politècnica de València. Instituto de Investigación para la Gestión Integral de Zonas Costeras - Institut d'Investigació per a la Gestió Integral de Zones Costaneres es_ES
dc.description.bibliographicCitation Mateos-Cañas, I.; Sendra, S.; Lloret, J.; Jimenez, JM. (2017). Autonomous video compression system for environmental monitoring. Network Protocols and Algorithms. 9(1-2):48-70. https://doi.org/10.5296/npa.v9i1-2.12386 es_ES
dc.description.accrualMethod S es_ES
dc.relation.publisherversion https://doi.org/10.5296/npa.v9i1-2.12386 es_ES
dc.description.upvformatpinicio 48 es_ES
dc.description.upvformatpfin 70 es_ES
dc.type.version info:eu-repo/semantics/publishedVersion es_ES
dc.description.volume 9 es_ES
dc.description.issue 1-2 es_ES
dc.relation.pasarela S\357662 es_ES
dc.contributor.funder Triptolemos Foundation es_ES
dc.contributor.funder Universitat Politècnica de València es_ES
dc.contributor.funder Fundació Bancària Caixa d'Estalvis i Pensions de Barcelona es_ES


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