Title :
A Source Video Identification Algorithm Based on Features in Video Stream
Author :
Su, Yuting ; Zhang, Jing ; Ji, Zhong
Author_Institution :
Sch. of Electron. Inf. Eng., Tianjin Univ., Tianjin
Abstract :
With the availability of powerful multimedia edition software, all kinds of personalized image and video resources have flooded in the network. Multimedia forensics technology becomes a new topic in the field of information security. In this paper, a new source video system identification algorithm is proposed based on the features in the encoded stream; it takes full advantage of the different characteristics in the rate control strategies of video compression system, and extracts several features in the video compressed stream, combines a support vector machine classifier to build a complete video system identification scheme. The experiments show this proposed algorithm can effectively identify video streams which come from a limited number of video coding systems.
Keywords :
data compression; feature extraction; identification; image classification; multimedia computing; security of data; support vector machines; video coding; video streaming; feature extraction; information security; multimedia edition software; multimedia forensic; source video identification algorithm; support vector machine classifier; video coding system; video compression; video resource; video stream; Availability; Control systems; Data mining; Feature extraction; Forensics; Information security; Streaming media; Support vector machines; System identification; Video compression; Multimedia Edition; Multimedia forensics; Source Video identification;
Conference_Titel :
Education Technology and Training, 2008. and 2008 International Workshop on Geoscience and Remote Sensing. ETT and GRS 2008. International Workshop on
Conference_Location :
Shanghai
Print_ISBN :
978-0-7695-3563-0
DOI :
10.1109/ETTandGRS.2008.325
