Name
Abstract | ||
|---|---|---|
“RAKUGACKY” is an interactive media system that could generate sounds from a hand-drawn sketch. It is necessary to analyze a sketch to generate sounds suitable for the sketch. The former system used colors and simple shape feature values of objects in a sketch such a circularity and an area, to recognize each object. Thus the system could recognize only simple objects in a sketch. In this paper, we improve our system to use more complex features of objects and recognize complex objects in a sketch by extracting and learning features of complex objects in a machine learning method. For example, the improved method could analyze hand-drawn animals such as cat, dog and sheep, and could synthesize cries of each animal interactively. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/CW.2016.46 | 2016 International Conference on Cyberworlds (CW) |
Keywords | Field | DocType |
drawing,graphics,sound Interaction,machine learning | Graphics,Computer vision,Sketch-based modeling,Computer graphics (images),Computer science,Sketch recognition,Artificial intelligence,Interactive media,Sketch | Conference |
ISBN | Citations | PageRank |
978-1-5090-2304-2 | 0 | 0.34 |
References | Authors | |
4 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Satomi Kato | 1 | 0 | 0.34 |
| Shinji Mizuno | 2 | 792 | 153.37 |