Design and deployment of a digital forensics service platform for online videos

1st ACM Workshop on Multimedia in Forensics - MiFor'09, Co-located with the 2009 ACM International Conference on Multimedia, MM'09

Volumn , Issue , 2009, Pages 31-36

  Hui, Wen ^a,b   Yin, Hao ^b   Lin, Chuang ^b  

^a UNIVERSITY OF SCIENCE AND TECHNOLOGY BEIJING   (China)

^b TSINGHUA UNIVERSITY   (China)

Author keywords

Digital forensics; Digital video; Video fingerprint

Indexed keywords

CONTENT DISTRIBUTION NETWORKS; DIGITAL CRIME; DIGITAL FORENSIC; DIGITAL VIDEOS; DYNAMIC RESOURCE SCHEDULING; END-USER EXPERIENCE; LOAD BALANCING PROBLEM; ONLINE VIDEO; PERFORMANCE EVALUATION; REAL TIME; REAL-WORLD; SERVICE PLATFORMS; VIDEO DATA; VIDEO FINGERPRINT; VIDEO FINGERPRINTING; WEB ENVIRONMENT;

COMPUTER CRIME; DISTRIBUTED PARAMETER NETWORKS; ELECTRONIC CRIME COUNTERMEASURES; INTERNET; METHOD OF MOMENTS; MULTIMEDIA SYSTEMS; REAL TIME SYSTEMS; VIDEO RECORDING;

COMPUTER GRAPHICS;

EID: 72249089325     PISSN: None     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1145/1631081.1631089     Document Type: Conference Paper

References (28)

1. F. Ahmed and M. Siyal. A robust and secure signature scheme for video authentication. In Multimedia and Expo, IEEE International Conference on, pages 2126-2129, 2007.
2. A. Arasu, J. Cho, H. Garcia-Molina, A. Paepcke, and S. Raghavan. Searching the web. ACM Transactions on Internet Technology, 1(1):2-43, 2001.
3. M. Bateni and M. Hajiaghayi. Assignment problem in content distribution networks: Unsplittable hard-capacitated facility location. In Proceedings of the Nineteenth Annual ACM-SIAM Symposium on Discrete Algorithms, pages 805-814. Society for Industrial and Applied Mathematics Philadelphia, PA, USA, 2009.
4. M. Datar, N. Immorlica, P. Indyk, and V. Mirrokni. Locality-sensitive hashing scheme based on p-stable distributions. In Proceedings of the twentieth Annual Symposium on Computational Geometry, pages 253-262. ACM New York, NY, USA, 2004.
5. M. El'arbi, C. Ben Amar, and H. Nicolas. A video watermarking scheme resistant to geometric transformations. In Image Processing. IEEE International Conference on, pages V -481-V -484, 2007.
6. H. Farid and S. Lyu. Higher-order wavelet statistics and their application to digital forensics. In Computer Vision and Pattern Recognition Workshop. Conference on, 2003.
7. C. Fei, D. Kundur, and R. Kwong. Analysis and design of secure watermark-based authentication systems. IEEE Transactions on Information Forensics and Security, 1(1):43-55, 2006.
8. J. Fridrich, D. Soukal, and J. Lukas. Detection of copy-move forgery in digital images. In Digital Forensic Research Workshop, 2003.
9. P. Gary. A road map for digital forensic research. In Digital Forensics Research Workshop, 2001.
10. S. Hu. E.cient video retrieval by locality sensitive hashing. In IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings., 2005.
11. U. Kandaswamy, D. Adjeroh, and M. Lee. E.cient texture analysis of sar imagery. IEEE Transactions on Geoscience and Remote Sensing, 43(9):2075-2083, 2005.
12. J. Kangasharju, K. Ross, and J. Roberts. Performance evaluation of redirection schemes in content distribution networks. Computer Communications, 24(2):207-214, 2001.
13. S. Lee and C. Yoo. Robust video fingerprinting for content-based video identification. IEEE Transactions on Circuits and Systems for Video Technology, 18(7):983-988, 2008.
14. W. Lee and C. Hwang. A forensic computing system using a digital right management technique. In Fuzzy Systems and Knowledge Discovery. Fourth International Conference on, pages 258-262, 2007.
15. R. Lienhart. Comparison of automatic shot boundary detection algorithms. In Proc. SPIE, pages 290-301, 1999.
16. M. Meyers and M. Rogers. Computer forensics: the need for standardization and certification. International Journal of Digital Evidence, 3(2):2002, 2004.
17. G. Pallis and A. Vakali. Insight and perspectives for content delivery networks. Communications of the ACM, 49(1):101-106, 2006.
18. A. Popescu and H. Farid. Exposing digital forgeries by detecting duplicated image regions. Department of Computer Science, Dartmouth College, 2004.
19. A. Popescu and H. Farid. Statistical tools for digital forensics. In 6th International Workshop on Information Hiding, pages 128-147. Springer, 2004.
20. A. Sarkar, P. Ghosh, E. Moxley, and B. Manjunath. Video fingerprinting: Features for duplicate and similar video detection and query-based video retrieval. In Multimedia Content Access: Algorithms and Systems II. Proceedings of the SPIE, pages 68200E-68200E, 2008.
21. K. Tan, B. Ooi, and C. Yee. An evaluation of color-spatial retrieval techniques for large image databases. Multimedia Tools and Applications, 14(1):55-78, 2001.
22. W. Wang and H. Farid. Exposing digital forgeries in video by detecting double mpeg compression. In Proceedings of the 8th Workshop on Multimedia and Security, pages 37-47. ACM New York, NY, USA, 2006.
23. W. Wang and H. Farid. Exposing digital forgeries in interlaced and deinterlaced video. IEEE Transactions on Information Forensics and Security, 2(3 Part 1):438-449, 2007.
24. W. Wang and H. Farid. Exposing digital forgeries in video by detecting duplication. In Proceedings of the 9th Workshop on Multimedia & Security, pages 35-42. ACM New York, NY, USA, 2007.
25. W. Wolf. Key frame selection by motion analysis. In IEEE International Conference on Acoustics, Speech, and Signal Processing, 1996.
26. H. Zhang, J. Wu, D. Zhong, and S. Smoliar. An integrated system for content-based video retrieval and browsing. Pattern recognition, 30(4):643-658, 1997.
27. Y. Zhuang, Y. Rui, T. Huang, and S. Mehrotra. Adaptive key frame extraction using unsupervised clustering. In Image Processing. Proceedings. International Conference on, 1998.
28. J. Zobel and A. Mo.at. Inverted files for text search engines. ACM Computing Surveys, 38(2), 2006.