Video copy detection based on source device characteristics: A complementary approach to content-based methods

Proceedings of the 1st International ACM Conference on Multimedia Information Retrieval, MIR2008, Co-located with the 2008 ACM International Conference on Multimedia, MM'08

Volumn , Issue , 2008, Pages 435-442

  Bayram, Sevinc ^a   Sencar, Husrev Taha ^a   Memon, Nasir ^a  

^a POLYTECHNIC UNIVERSITY   (United States)

Author keywords

Imaging sensor; PRNU noise; Video copy detection; Video signature

Indexed keywords

CONTENT-BASED; CONTENT-BASED METHODS; DEVICE CHARACTERISTICS; IMAGING SENSORS; REAL WORLD DATA; VIDEO COPY DETECTION; VIDEO PROCESSING; VIDEO SIGNATURES; VISUAL MEDIA;

INFORMATION RETRIEVAL; INFORMATION SERVICES; METHOD OF MOMENTS; SENSORS;

MULTIMEDIA SYSTEMS;

EID: 70450230596     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1460096.1460167     Document Type: Conference Paper

References (29)

1. A. J. A. Vailaya, M. Figueiredo and H.-J. Zhang. Image classification for content-based indexing. IEEE Transactions on Image Processing, 10(1): 117-129, January 2001.
2. S. Bayram, H. T. Sencar, and N. Memon. Classification of digital camera models based on demosaicing artifacts. In to appear in Journal of Digital Investigations, 2008.
3. M. Chen, J. Fridrich, and M. Goljan. Digital imaging sensor identification (further study). Security, Steganography, and Watermarking of Multimedia Contents IX. Proceedings of the SPIE, 6505: 65050P, February 2007.
4. M. Chen, J. Fridrich, M. Goljan, and J. Lukás. Source digital camcorder identification using sensor photo response non-uniformity. SPIE, Electronic Imaging, Security, Steganography, and Watermarking of Multimedia Contents IX, 6505: 1G-1H, January 28-February 2 2007.
5. K. S. Choi, E. Y. Lam, and K. K. Y. Wong. Source camera identification using footprints from lens aberration. Digital Photography II. Proceedings of the SPIE, 6069: 172-179, February 2006.
6. B. Coskun, B. Sankur, and N. Memon. Spatio-temporal transform-based video hashing. IEEE Transactions on Multimedia, 8(6): 1190-1208, 2006.
7. A. E. Dirik, H. T. Sencar, and N. Memon. Digital single lens reflex camera identification from traces of sensor dust. In IEEE Transactions on TIFS, 2008.
8. X. Fang, Q. Sun, and Q. Tian. Content-based video identification: a survey. International Conference on Information Technology: Research and Education, 2003.
9. Z. J. Geradts, J. Bijhold, M. Kieft, K. Kurosawa, K. Kuroki, and N. Saitoh. Methods for identification of images acquired with digital cameras. SPIE, Enabling Technologies for Law Enforcement and Security, 4232: 505-512, February 2001.
10. T. Gloe, E. Franz, and A. Winkler. Forensics for flatbed scanners. Security, Steganography, and Watermarking of Multimedia Contents IX, 6505: 65051I, February 2007.
11. M. Goljan and J. Fridrich. Camera identification from scaled and cropped images. Proc. SPIE, Electronic Imaging, Forensics, Security, Steganography, and Watermarking of Multimedia Contents X, January 26-31 2008.
12. H. Gou, A. Swaminathan, and M. Wu. Robust scanner identification based on noise features. Security, Steganography, and Watermarking of Multimedia Contents IX. Proceedings of the SPIE, 6505(65050S), February 2007.
13. P. Indyk, G. Iyengar, and N. Shivakumar. Finding pirated video sequences on the internet. In Technical Report. Stanford University, 1999.
14. T. K. J. Oostveen and J. Haitsma. Feature extraction and a database strategy for video fingerprinting. In VISUAL Š02: Proceedings of the 5th International Conference on Recent Advances in Visual Information Systems, pages 117-128. London, UK, 2002.
15. E. Kasutani and A. Yamada. The mpeg-7 color layout descriptor: A compact image feature description for high-speed image/video segment retrieval. IEEE International Conference on Image Processing: ICIP, 1: 674-677, October 2001.
16. N. Khanna, A. K. Mikkilineni, G. T. C. Chiu, J. P. Allebach, and E. J. Delp. Scanner identification using sensor pattern noise. Security, Steganography, and Watermarking of Multimedia Contents IX. Proceedings of the SPIE, 6505: 65051K, February 2007.
17. T. Kuronuni, K. Kashino, and H. Murase. A method for robust and quick video searching using probabilistic dither-voting. International Conference on Image Processing, 2: 653-656, October 2001.
18. K. Kurosawa, K. Kuroki, and N. Saitoh. Ccd fingerprint method identification of a video camera from videotaped images. In ICIP99, pages 537-540. Kobe, Japan, 1999.
19. T. V. Lanh, K.-S. Chong, S. Emmanuel, and M. S. Kankanhalli. A survey on digital camera image forensic methods. In 2007 IEEE International Conference on Multimedia and Expo, 2007.
20. J. Law-To, L. Chen, A. Joly, I. Laptev, O. Buisson, V. Gouet-Brunet, and N. B. adn F.I. Stentiford. Video copy detection: a comparative study. In ACM International Conference on Image and Video Retrieval: CIVR 07, pages 371-378. Amsterdam, The Netherlands, October 2007. (Pubitemid 350229648)
21. Y. Li, L. Jin, and X. Zhou. Video matching using binary signature. In International Symposium on Intelligent, Signal Processing and Communication Systems, pages 317-320, 2005.
22. R. Lienhart, C. Kuhmünch, and W. Effelsberg. On the detection and recognition of television commercials. International Conference on Multimedia Computing and Systems, pages 509-516, June 1997.
23. J. Lukás, J. Fridrich, and M. Goljan. Digital camera identification from sensor pattern noise. IEEE Transactions Information Forensics and Security, 1(2): 205-214, 2006.
24. Y. Meng, E. Y. Chang, and B. Li. Enhancing dpf for near-replica image recognition. International Conference on Pattern Recognition, pages 416-423, 2003.
25. H. T. Sencar and N. Memon. Overview of State-of-the-art in Digital Image Forensics. World Scientific Press, 2008.
26. Y. Sutcu, S. Bayram, H. T. Sencar, and N. Memon. Improvements on sensor noise based source camera identification. In Proceedings of IEEE ICME, 2007.
27. A. Swaminathan, M. Wu, and K. J. R. Liu. Non intrusive forensic analysis of visual sensors using output images. IEEE Transactions of Information Forensics and Security, 2(1): 91-106, March 2007.
28. L. W. Y. Lu, H.-J. Zhang and C. Hu. Joint semantics and feature based image retrieval using relevance feedback, . IEEE Transactions Multimedia, 5(3): 339-346, September 2003.
29. J. Yuan, L. Duan, Q. Tian, and C. Xu. Fast and robust short video clip search using an index structure. In 6th ACM SIGMM International Workshop on Multimedia Information Retrieval, pages 61-68. New York, 2004. (Pubitemid 40390939)