Progressive image compression and transmission with region of interest in underwater robotics
Impacte
Scholar |
Altres documents de l'autoria: Moscoso Rubino, Eduardo; Centelles, Diego; Sales Gil, Jorge; Martí Avilés, José Vicente; Marin, Raul; Sanz, Pedro J; Alvares, Alberto
Metadades
Mostra el registre complet de l'elementcomunitat-uji-handle:10234/9
comunitat-uji-handle2:10234/7036
comunitat-uji-handle3:10234/146069
comunitat-uji-handle4:
INVESTIGACIONAquest recurs és restringit
http://dx.doi.org/10.1109/OCEANSE.2017.8084999 |
Metadades
Títol
Progressive image compression and transmission with region of interest in underwater roboticsAutoria
Data de publicació
2017-06Editor
IEEEISBN
9781509052783Cita bibliogràfica
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.Tipus de document
info:eu-repo/semantics/conferenceObjectVersió de l'editorial
https://ieeexplore.ieee.org/document/8084999/Versió
info:eu-repo/semantics/publishedVersionParaules clau / Matèries
Resum
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. [-]
Descripció
Comunicació presentada a Oceans 2017 Conference, Aberdeen, 19-22 June 2017