Name
Title | ||
|---|---|---|
Pictorial Image Code: A Color Vision-based Automatic Identification Interface for Mobile Computing Environments |
Abstract | ||
|---|---|---|
In recent years, extensive research has been carried out on vision-based automatic identification technology that recognizes image codes using a camera phone, and then provides various services. These image codes such as one-dimensional barcodes and two-dimensional codes consist of black and white patterns for easier and faster recognition by the reader. Therefore, the image codes have limitations in providing information for users, such as service type and service aim, because their patterns are sensitive to deformations. In this paper, we propose a color-based image code that is configurable and can present visual information on its service. Moreover, we describe an encoding/decoding technology and actual services of the image code. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/HotMobile.2007.8 | HotMobile |
Keywords | Field | DocType |
visual information,image coding,actual service,two-dimensional code,mobile computing environments,color vision-based automatic identification interface,various service,service type,image recognition,decoding technology,service aim,pictorial image,color-based image code,mobile computing environment,vision-based automatic identification technology,encoding-decoding technology,image code,pictorial image code,color vision-based automatic identification,mobile computing,image colour analysis,decoding,computer applications,shape,computer science,application software,mobile computer,computer vision,camera phone,color vision | Camera phone,Mobile computing,Computer vision,Identification technology,Computer graphics (images),Computer science,Image coding,Artificial intelligence,Decoding methods,Color vision,Encoding (memory) | Conference |
ISSN | ISBN | Citations |
1550-6193 | 978-0-7695-3001-7 | 5 |
PageRank | References | Authors |
0.54 | 2 | 9 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Cheolho Cheong | 1 | 25 | 3.63 |
| Tack-Don Han | 2 | 351 | 66.39 |
| Jaeyun Kim | 3 | 16 | 2.18 |
| Taek-Jean Kim | 4 | 5 | 0.54 |
| Keechoon Lee | 5 | 5 | 0.54 |
| Sangyong Lee | 6 | 179 | 12.74 |
| Akio Itoh | 7 | 5 | 0.54 |
| Yasumoto Asada | 8 | 5 | 0.54 |
| Christopher Craney | 9 | 5 | 0.54 |