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Distributed Coding/Decoding Complexity in Video Sensor Networks

dc.contributor.authorCordeiro, Paulo J.
dc.contributor.authorAssunção, Pedro
dc.date.accessioned2025-10-31T15:44:28Z
dc.date.available2025-10-31T15:44:28Z
dc.date.issued2012-02-29
dc.description.abstractVideo Sensor Networks (VSNs) are recent communication infrastructures used to capture and transmit dense visual information from an application context. In such large scale environments which include video coding, transmission and display/storage, there are several open problems to overcome in practical implementations. This paper addresses the most relevant challenges posed by VSNs, namely stringent bandwidth usage and processing time/power constraints. In particular, the paper proposes a novel VSN architecture where large sets of visual sensors with embedded processors are used for compression and transmission of coded streams to gateways, which in turn transrate the incoming streams and adapt them to the variable complexity requirements of both the sensor encoders and end-user decoder terminals. Such gateways provide real-time transcoding functionalities for bandwidth adaptation and coding/decoding complexity distribution by transferring the most complex video encoding/decoding tasks to the transcoding gateway at the expense of a limited increase in bit rate. Then, a method to reduce the decoding complexity, suitable for system-on-chip implementation, is proposed to operate at the transcoding gateway whenever decoders with constrained resources are targeted. The results show that the proposed method achieves good performance and its inclusion into the VSN infrastructure provides an additional level of complexity control functionality.eng
dc.identifier.citationCordeiro, P. J., & Assunção, P. (2012). Distributed coding/decoding complexity in video sensor networks. Sensors, 12(3), 2693-2709. https://doi.org/10.3390/s120302693
dc.identifier.doi10.3390/s120302693
dc.identifier.issn1424-8220
dc.identifier.urihttp://hdl.handle.net/10400.8/14450
dc.language.isoeng
dc.peerreviewedyes
dc.publisherMDPI AG
dc.relation.hasversionhttps://www.mdpi.com/1424-8220/12/3/2693
dc.relation.ispartofSensors
dc.rights.urihttp://creativecommons.org/licenses/by/4.0/
dc.subjectVideo sensors
dc.subjectReal-time transcoding
dc.subjectComplexity control
dc.titleDistributed Coding/Decoding Complexity in Video Sensor Networkseng
dc.typejournal article
dspace.entity.typePublication
oaire.citation.endPage2709
oaire.citation.issue3
oaire.citation.startPage2693
oaire.citation.titleSensors
oaire.citation.volume12
oaire.versionhttp://purl.org/coar/version/c_970fb48d4fbd8a85
person.familyNameFerreira Batista Pinheiro Cordeiro
person.familyNameAssunção
person.givenNamePaulo Jorge
person.givenNamePedro
person.identifier.ciencia-id6811-3984-C17B
person.identifier.orcid0009-0004-9513-899X
person.identifier.orcid0000-0001-9539-8311
person.identifier.ridA-4827-2017
person.identifier.scopus-author-id6701838347
relation.isAuthorOfPublicationf5994e2d-8a6d-43a8-a229-dfa6d67030ad
relation.isAuthorOfPublication25649bb9-f135-48e8-8d0f-3706b86701d3
relation.isAuthorOfPublication.latestForDiscovery25649bb9-f135-48e8-8d0f-3706b86701d3

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