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

Volume

1

fYear

2008

fDate

21-22 Dec. 2008

Firstpage

719

Lastpage

723

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/ETTandGRS.2008.325

Filename

5070255