Mobile Image Recognition with Convolutional Neural Networks
- William Raveane 1
- María Angélica González Arrieta 1
- 1 Department of Computer Science, University of Salamanca
- Juan Cruz Benito (coord.)
- Alicia García Holgado (coord.)
- Sergio García Sánchez (coord.)
- Daniel Hernández Alfageme (coord.)
- María Navarro Cáceres (coord.)
- Roberto Vega Ruiz (coord.)
Éditorial: Departamento de Informática y Automática ; Universidad de Salamanca
ISBN: 84-695-8670-X
Année de publication: 2013
Pages: 133-147
Type: Chapitre d'ouvrage
Résumé
Convolutional neural networks provide a powerful solutionfor image recognition, but also present a trade-off due the computingpower required to carry out the classification procedure. This is primarilydue to the difficulty involved in calculating multiple convolution operations over various layers in the neural network. With the ever increasingperformance of mobile devices, it is natural to explore the possibility ofimplementing such a system on board a device to perform interactiveimage recognition tasks in real time.