Journal of Broadcast Engineering (방송공학회논문지)

The Korean Institute of Broadcast and Media Engineers (한국방송∙미디어공학회)
권호 표지
DOI QR코드

DOI QR Code

A Content Retrieval Method Using Pictures Taken from a Display Robust to Partial Luminance Change

부분 휘도 변화에 강인한 영상 촬영 기반 콘텐츠 검색 방법

  • Lee, Joo-Young (Broadcast & Telecommunications Media Research Department, ETRI) ;
  • Kim, Youn-Hee (Broadcast & Telecommunications Media Research Department, ETRI) ;
  • Nam, Je-Ho (Broadcast & Telecommunications Media Research Department, ETRI)
  • 이주영 (한국전자통신연구원 방통융합미디어연구부) ;
  • 김연희 (한국전자통신연구원 방통융합미디어연구부) ;
  • 남제호 (한국전자통신연구원 방통융합미디어연구부)
  • Received : 2011.03.17
  • Accepted : 2011.05.17
  • Published : 2011.05.30
Download PDF
⟨ Previous Next ⟩

Abstract

In this paper, we propose a content retrieval system using pictures taken from a display for more intelligent mobile services. We focus on the search robustness by minimizing the influence of photographing conditions such as changes in the illumination intensity. For an efficient search and precise detection, as well as robustness, we use a two-step comparison method based on indexing features and a binary map based on luminance and chrominance difference with the adjacent blocks. We also evaluate the proposed algorithm by comparing with the existing algorithms, and we show the content retrieval system that we've implemented using the proposed algorithm.

논문에서는 디스플레이 촬영 영상을 기반으로 하는 콘텐츠 검색 방법을 제안한다. 본 논문에서 제안한 알고리즘은 조명 등의 촬영 조건 변화에 영향을 최소화하기 위해 인접 블록 간 휘도의 증감 방향을 표현하는 이진 맵을 이용한다. 또한 본 논문에서 구현한 콘텐츠 검색 시스템은 제안 알고리즘의 효율성을 높이기 위해 스칼라 값을 이용한 인덱스 기반의 2단계 검색을 수행한다. 알고리즘 비교 실험을 통해 제안 알고리즘에 대한 검증을 수행하고 제안 알고리즘을 이용하여 구현한 콘텐츠 검색 시스템을 기술한다.

Keywords

References

  1. Layer, http://www.layar.com/
  2. Google Goggle, http://www.google.com/mobile/goggles/
  3. M.J. Swain and B.H. Ballard, "Color Indexing", Int'l J. Computer Vision, vol. 7, no. 1, pp. 11-32, 1991. https://doi.org/10.1007/BF00130487
  4. A. Hampapur and R. Bolle, "Feature based indexing for media tracking," Proc. IEEE ICME, vol. 3, pp. 1709-1712, July 2000. https://doi.org/10.1109/ICME.2000.871101
  5. D. N. Bhat and S. K. Nayar, "Ordinal measures for image correspondence," IEEE Trans. Pattern Anal. Mach. Intell., vol. 20, no. 4, pp. 415.423, Apr. 1998. https://doi.org/10.1109/34.677275
  6. C. Kim, "Content-based image copy detection," Signal Process.: Image Commun., vol. 18, pp. 169.184, 2003. https://doi.org/10.1016/S0923-5965(02)00130-3
  7. A. Joly, O. Buisson, and C. Frelicot, "Content-based copy retrieval using distortion-based probabilistic similarity search," IEEE Trans. Multimedia, vol. 9, no. 2, Feb. 2007. https://doi.org/10.1109/TMM.2006.886278
  8. J.-H. Hsiao , C.-S. Chen , L.-F. Chien and M.-S. Chen , M. 2007. "A new approach to image copy detection based on extended feature sets." IEEE Trans. Image Process 16, pp. 2069-2079, Aug. 2007 https://doi.org/10.1109/TIP.2007.900099
  9. E. Peli, "Contrast in complex images", J. Opt. Soc. Amer. A, vol. 7, no. 10, pp.2032-2040 , 1990. https://doi.org/10.1364/JOSAA.7.002032
  10. Q. Liu and A.H. Sung, "Feature Mining and Nuero-Fuzzy Inference System for Steganalysis of LSB Matching Steganography in Grayscale Images", Proc. Of 20th International Joint Conference on Artificial Intelligence (IJCAI), 2007, pp.2808-2813.
  11. Q. Liu, A. Sung, B. Ribeiro, M. Wei, Z. Chen and J. Xu, "Image complexity and feature mining for steganalysis of least significant bit matching steganography", Information Sciences 178 (1), pp. 21-36, 2008 https://doi.org/10.1016/j.ins.2007.08.007
  12. I. Guyon and A. Elisseeff, "An introduction to variable and feature selection," J. Machine Learning Res. (Special Issue on Variable and Feature Selection), vol. 3, pp. 1157-1182, 2003.
  13. W. Hsu, T. S. Chua, and H. K. Pung, "An integrated color-spatial approach to content-based image retrieval", Proc. ACM Multimedia, pp.305-313 , 1995.
  14. 김주섭, 남제호, "DTV 방송프로그램의 온라인 불법전송 차단을 위한 비디오 복사본 검출 알고리즘", 한국방송공학회논문지, v.13, no.5, pp.662-676, 2008 https://doi.org/10.5909/JBE.2008.13.5.662