Embedding information within dynamic visual patterns

Author

Liao, Wen-Hung ; Chang, Chi-Chih

Author_Institution

Dept. of Comput. Sci., Nat. Chengchi Univ., Taipei

Volume

2

fYear

2004

fDate

30-30 June 2004

Firstpage

895

Abstract

There exist many scenarios in which the automatic distinction between human and machines is desirable. This paper describes a texture-image based approach to encode text information in such a way that machine vision algorithms will experience difficulties while humans can extract the embedded text effortlessly. We exploit both static and dynamic visual patterns to diversify the image content and discourage automatic processing. Examples of the resulting patterns are presented and their properties are discussed

Keywords

computer vision; digital signatures; image recognition; image texture; telecommunication security; visual perception; CAPTCHA; automatic human-machine distinction; automatic processing; dynamic visual patterns; embedded information; embedded text extraction; encoded text information; image content diversification; machine vision algorithms; reverse Turing test; static visual patterns; texture-image based approach; textured visual patterns; Computer networks; Computer science; Data mining; Hardware; Humans; Information retrieval; Information technology; Machine vision; Radio access networks; Testing;

fLanguage

English

Publisher

ieee

Conference_Titel

Multimedia and Expo, 2004. ICME '04. 2004 IEEE International Conference on

Conference_Location

Taipei

Print_ISBN

0-7803-8603-5

Type

conf

DOI

10.1109/ICME.2004.1394345

Filename

1394345