Data hiding technique for digital images tracing system on the Web

Gilsang Yoo, Dongeun Sun, Kigon Lyu, Hyeoncheol Kim

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

Online delivery of digital media, such as image or video is very popular and will become an increasingly important part of E-commerce copyright protection and tracking. The advantage of internet is sharing the valuable digital media which lead to misuse of digital media. To resolve the problem of misuse of digital data on Internet, we need to have strong Digital rights monitoring system. We propose an architecture design of digital image tracing system on the World Wide Web and a QR code hiding method for this application using 8×8 DCT-based transform. This paper presents an innovative embedding QR code that is a metadata hiding into digital image. In our design, there are 4 important components i.e., distributed web spider, target database, source database, and data hiding process module. We use the histogram of DC image parameter as indexing key in the target database, which will be used to retrieve the original image from the source database. DC image is obtained by taking all DC value of each 8×8 image block after DCT transform, which also serve as thumbnail version of the original. Besides to get the DC image, the operation of 8×8 DCT transform is also used to extract the metadata in the next process, which increases the efficiency of the overall system.

Original languageEnglish
Title of host publicationProceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012
Pages293-296
Number of pages4
Publication statusPublished - 2012 Dec 1
Event2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012 - Taipei, Taiwan, Province of China
Duration: 2012 Oct 232012 Oct 25

Other

Other2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012
CountryTaiwan, Province of China
CityTaipei
Period12/10/2312/10/25

Fingerprint

Digital storage
Metadata
Internet
Electronic commerce
World Wide Web
Monitoring

Keywords

  • hiding
  • image
  • metadata
  • QR code
  • tracing

ASJC Scopus subject areas

  • Information Systems
  • Software

Cite this

Yoo, G., Sun, D., Lyu, K., & Kim, H. (2012). Data hiding technique for digital images tracing system on the Web. In Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012 (pp. 293-296). [6528644]

Data hiding technique for digital images tracing system on the Web. / Yoo, Gilsang; Sun, Dongeun; Lyu, Kigon; Kim, Hyeoncheol.

Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012. 2012. p. 293-296 6528644.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Yoo, G, Sun, D, Lyu, K & Kim, H 2012, Data hiding technique for digital images tracing system on the Web. in Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012., 6528644, pp. 293-296, 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012, Taipei, Taiwan, Province of China, 12/10/23.
Yoo G, Sun D, Lyu K, Kim H. Data hiding technique for digital images tracing system on the Web. In Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012. 2012. p. 293-296. 6528644
Yoo, Gilsang ; Sun, Dongeun ; Lyu, Kigon ; Kim, Hyeoncheol. / Data hiding technique for digital images tracing system on the Web. Proceedings - 2012 6th International Conference on New Trends in Information Science, Service Science and Data Mining (NISS, ICMIA and NASNIT), ISSDM 2012. 2012. pp. 293-296
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