Event Analogy Based Privacy Preservation in Visual Surveillance

详细信息    查看全文

• 关键词：Event analogy ; Surveillance event ; Privacy preservation ; Real reality ; Virtual reality
• 刊名：Lecture Notes in Computer Science
• 出版年：2016
• 出版时间：2016
• 年：2016
• 卷：9555
• 期：1
• 页码：357-368
• 全文大小：2,253 KB
• 参考文献：1.Reinhard, E., Ashikhmin, M., Gooch, B., Shirley, P.: Color transfer between images. IEEE Comput. Graph. Appl. 21(5), 34–41 (2001)CrossRef
  2.Klette, R.: Concise Computer Vision. Springer, London (2014)CrossRef MATH
  3.Welsh, T., Ashikhmin, M., Mueller, K.: Transferring color to greyscale images. In: Computer graphics and interactive techniques, pp. 277–280, USA (2002)
  4.Yan, W., Kankanhalli, M.: Colorizing infrared home videos. In: IEEE ICME 2003, pp. 97–100, USA (2003)
  5.Hertzmann, A., Jacobs, C., Oliver, N., Curless, B., Salesin, D.: Image analogies. In: Computer graphics and interactive techniques, pp. 327–340, USA (2001)
  6.Evans, T.: A program for the solution of geometric analogy intelligence test questions. In: Semantic Information Processing. MIT Press, New York (1968)
  7.Hertzmann, A., Oliver, N., Curless, B., Seitz, S.: Curve analogies. In: Eurographics workshop on Rendering, Italy (2002)
  8.Winston, P.: Learning and reasoning by analogy. Commun. ACM 23(12), 689–703 (1980)CrossRef
  9.Gentner, D.: Structure mapping: a theoretical framework for analogy. Cogn. Sci. 7(2), 155–170 (1983)CrossRef
  10.Dorai, C., Venkatesh, S.: Bridging the semantic gap with computational media aesthetics. IEEE MultiMed. 10(2), 15–17 (2003)CrossRef
  11.William, T., Touis, R., Egon, C.: Example-based super-resolution. IEEE Comput. Graph. Appl. 22, 56–65 (2002)
  12.Adams, B., Dorai, C., Venkatesh, S.: Automated film rhythm extraction for scene analysis. In: Proceedings of the IEEE ICME 2001, pp. 1192–1195, Japan (2001)
  13.Adams, B., Venkatesh, S., Dorai, C.: Finding the beat: an analysis of the rhythmic elements of motion pictures. Int. J. Image Graph. 2(2), 215–245 (2002)CrossRef
  14.Herbert, Z.: Sight, Sound, Motion: Applied Media Aesthetics. Wadsworth Publishing Company, Belmont (1999)
  15.Saini, M., Atrey, P., Mehrotra, S.: Adaptive transformation for robust privacy protection in video surveillance. Int. J. Adv. Multimed. 2012, 4 (2012)
  16.Saini, M., Atrey, P., Mehrotra, S., Kankanhalli, M.: Privacy aware publication of surveillance video. Int. J. Trust Manage. Comput. Commun. 1(1), 23–51 (2012)CrossRef
  17.Saini, M., Atrey, P., Mehrotra, S., Emmanuel, S., Kankanhalli, M.: Privacy modeling for video data publication. In: IEEE ICME 2010, Singapore (2010)
  18.Zhang, P., Thomas, T., Emmanuel, S., Kankanhalli, M.: Privacy preserving video surveillance using pedestrian tracking mechanism. In: ACM Workshop on Multimedia in Forensics, Security and Intelligence (2010)
  19.Yan, W., Kieran, D., Rafatirad, S., Jain, R.: A comprehensive study of visual event computing. Multimed. Tools Appl. 55(3), 443–481 (2011)CrossRef
  20.Yan, W., Kankanhalli, M.: Analogies based video editing. Multimed. Syst. 11(1), 3–18 (2005)CrossRef
  21.Yan, W., Kankanhalli, M.: Multimedia simplification for optimized MMS synthesis. ACM Trans. Multimed. Comput. Commun. Appl. 3(1) (2007)
  22.Rogez, G., Rihan, J., Orrite, C., Torr, P.: Fast human pose detection using randomized hierarchical cascades of rejectors. Int. J. Comput. Vis. 99(1), 25–52 (2012)CrossRef MathSciNet
  23.Prest, A., Ferrari, V., Schmid, C.: Explicit modeling of human-object interactions in realistic videos. IEEE Trans. Pattern Anal. Mach. Intell. 35(4), 835–848 (2013)CrossRef
  24.Zelnik-Manor, L., Irani, M.: Event-Based Video Analysis. In: IEEE CVPR (2001)
  25.Zelnik-Manor, L., Irani, M.: Statistical analysis of dynamic actions. IEEE PAMI 28(9), 1530–1535 (2006)CrossRef
  
• 作者单位：Wei Qi Yan (15) (16)
  Feng Liu (16)
  
  15. Auckland University of Technology, Auckland, New Zealand
  16. Chinese Academy of Sciences, Beijing, China
  
• 丛书名：Image and Video Technology ᾿PSIVT 2015 Workshops
• ISBN：978-3-319-30285-0
• 刊物类别：Computer Science
• 刊物主题：Artificial Intelligence and Robotics
  Computer Communication Networks
  Software Engineering
  Data Encryption
  Database Management
  Computation by Abstract Devices
  Algorithm Analysis and Problem Complexity
  
• 出版者：Springer Berlin / Heidelberg
• ISSN：1611-3349

文摘

Privacy preservation as a thorny problem in surveillance has been arisen because of its relevance to human right, however it has not been completely solved yet today. In this paper, we investigate this existing problem and expect to get ride of those intuitive methods such as pixelization, blurring or mosaicking on human face regions through object tracking. We detail privacy preservation at event level and thereafter choose suitable events represented by motion pictures in virtual reality to replace those events of surveillance in real reality. The advantage of taking use of this approach is to leverage the utility and privacy of surveillance events. The outcome will not affect visual effects and surveillance security much however it is able to achieve the objectives of privacy preservation.