Progressive image compression and transmission with region of interest in underwater robotics
Impacto
Scholar |
Otros documentos de la autoría: Moscoso Rubino, Eduardo; Centelles, Diego; Sales Gil, Jorge; Martí Avilés, José Vicente; Marin, Raul; Sanz, Pedro J; Alvares, Alberto
Metadatos
Mostrar el registro completo del ítemcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
comunitat-uji-handle4:
INVESTIGACIONEste recurso está restringido
http://dx.doi.org/10.1109/OCEANSE.2017.8084999 |
Metadatos
Título
Progressive image compression and transmission with region of interest in underwater roboticsAutoría
Fecha de publicación
2017-06Editor
IEEEISBN
9781509052783Cita bibliográfica
E. M. Rubino et al., "Progressive image compression and transmission with region of interest in underwater robotics," OCEANS 2017 - Aberdeen, Aberdeen, 2017, pp. 1-9.Tipo de documento
info:eu-repo/semantics/conferenceObjectVersión de la editorial
https://ieeexplore.ieee.org/document/8084999/Versión
info:eu-repo/semantics/publishedVersionPalabras clave / Materias
Resumen
The increasing demand for underwater robotic intervention systems around the world in several application domains requires more versatile and inexpensive systems. By using a wireless communication system, supervised ... [+]
The increasing demand for underwater robotic intervention systems around the world in several application domains requires more versatile and inexpensive systems. By using a wireless communication system, supervised semi-autonomous robots have freedom of movement and, at the same time, allows the operator to get camera feedback and supervise the intervention. Moreover, the limited and varying bandwidth of underwater radio frequency (RF) and underwater acoustic modem channels is a major obstacle. This paper proposes the use of progressive (embedded) image compression and region of interest (ROI) for the design of an underwater image sensor to be installed in an Autonomous Underwater Vehicle, specially when there are constraints on the available bandwidth, allowing a more agile data exchange between the vehicle and a human operator supervising the underwater intervention. [-]
Descripción
Comunicació presentada a Oceans 2017 Conference, Aberdeen, 19-22 June 2017