Abstract | ||
---|---|---|
We propose a novel method to detect, locate and classify logos in images, based on consensus to enable Blockchain implementations. An incremental learning algorithm is proposed to detect logos by just using a synthetic image template, without the need of annotating a training set. Then, a crowdsourced solution is generated to carry out the consensus of the executions of the incremental learning. |
Year | DOI | Venue |
---|---|---|
2017 | 10.3233/978-1-61499-806-8-257 | FRONTIERS IN ARTIFICIAL INTELLIGENCE AND APPLICATIONS |
Keywords | Field | DocType |
Logo recognition,Blockchain,Distributed Ledger Technology,incremental learning,consensus,collaborative network | World Wide Web,Proof-of-stake,Computer science,Implementation,Blockchain,Logo recognition,Multimedia | Conference |
Volume | ISSN | Citations |
300 | 0922-6389 | 0 |
PageRank | References | Authors |
0.34 | 0 | 4 |
Name | Order | Citations | PageRank |
---|---|---|---|
Josep Lluís De La Rosa | 1 | 260 | 41.38 |
Andres El-Fakdi | 2 | 0 | 0.34 |
Victor Torres | 3 | 0 | 0.34 |
Xesca Amengual | 4 | 0 | 0.34 |