DocumentCode :
3431873
Title :
Device identification based on H.264 cues
Author :
Xiaochun Cao ; Siyuan Li ; Feng Jiang ; Hua Zhang ; Ling Du ; Xiangui Kang
Author_Institution :
Sch. of Comput. Sci. & Technol., Tianjin Univ., Tianjin, China
fYear :
2013
fDate :
6-10 July 2013
Firstpage :
452
Lastpage :
455
Abstract :
With the rapid development of multimedia techniques, the video can easily be edited and tempered. To determine whether a video has been modified from its original recording has become a critical challenge. Thanks to the flexibility of H.264, we observe that different H.264 video parameters are used by various manufacturers. We propose a video capturing device identification approach by exploring the H.264 cues. Two main video dependent features are exploited: 1) H.264 encoding parameters which rely on motion-vector analysis, entropy coding, encoding quality and level, GOP information, etc. 2) The other is the video encapsulation formats. The former is to judge whether the video is taken by cellphone, while the latter is utilized to identify the video source. In the experimental part, we evaluate our proposed approach on our collected video dataset, and demonstrate the efficiency of our method.
Keywords :
video coding; GOP information; H.264 cues; H.264 encoding parameters; H.264 video parameters; encoding quality; entropy coding; motion-vector analysis; multimedia techniques; video capturing device identification approach; video dependent features; video encapsulation formats; Authentication; Encapsulation; Entropy coding; Mobile handsets; Standards; Vectors; GOP; Video capturing device identification; encode quality; motion vector analysis;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Signal and Information Processing (ChinaSIP), 2013 IEEE China Summit & International Conference on
Conference_Location :
Beijing
Type :
conf
DOI :
10.1109/ChinaSIP.2013.6625380
Filename :
6625380
Link To Document :
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