New high-speed frame detection method: Side Trace Algorithm (STA) for i-appli on cellular phones to detect watermarks

Authors:
Atsushi Katayama;Takao Nakamura;Masashi Yamamuro;Noboru Sonehara
Affiliations:
NTT Cyber Space Laboratories, Yokosuka-Shi, Kanagawa, Japan;NTT Cyber Space Laboratories, Yokosuka-Shi, Kanagawa, Japan;NTT Cyber Space Laboratories, Yokosuka-Shi, Kanagawa, Japan;National Institute of Informatics, Chiyoda-ku, Tokyo, Japan
Venue:
Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
Year:
2004

Citing 3
Cited 6

A new curve detection method: randomized Hough transform (RHT)

Pattern Recognition Letters
Geometric computation for machine vision

Geometric computation for machine vision
Fast watermark detection scheme for camera-equipped cellular phone

Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia

Fast watermark detection scheme for camera-equipped cellular phone

Proceedings of the 3rd international conference on Mobile and ubiquitous multimedia
Reading Watermarks from Printed Binary Images with a Camera Phone

IWDW '09 Proceedings of the 8th International Workshop on Digital Watermarking
Texture synthesis for mobile data communications

IEEE Computer Graphics and Applications
Watermark robustness in the print-cam process

SPPRA '08 Proceedings of the Fifth IASTED International Conference on Signal Processing, Pattern Recognition and Applications
Watermark detection for video bookmarking using mobile phone camera

CMS'10 Proceedings of the 11th IFIP TC 6/TC 11 international conference on Communications and Multimedia Security
A two-factor authentication system using Radio Frequency Identification and watermarking technology

Computers in Industry

Quantified Score

Hi-index	0.00

Visualization

Abstract

We developed a system that enables a camera-equipped cellular phone to read digital watermarks embedded in various media in real time, and that presents to the user a link to a Web page, video, or music associated with that watermark information. A picture captured by a camera is the result of applying a projective transformation combining rotation, scaling, and tilting to the original picture, The picture must be subjected to an inverse projective transformation prior to reading the watermark in order to return it to the same geometric form as the original picture. This inverse transformation requires transformation parameters, and the corners of the picture outline can be used as feature points for determining these parameters. In this paper, we propose a Side Trace Algorithm (STA) that reduces the processing time required to find corners of the picture less than 1/100 that when using the Hough transform and the conventional pattern matching, and present results of its implementation.