Fast Objectionable Videos Detection Algorithm Based on Motion Vector Field

Gui Qing Lv; Zhi Yi  Qu

doi:10.4028/www.scientific.net/AMM.347-350.3759

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HomeApplied Mechanics and MaterialsApplied Mechanics and Materials Vols. 347-350Fast Objectionable Videos Detection Algorithm...

Fast Objectionable Videos Detection Algorithm Based on Motion Vector Field

Abstract:

Aim at large amount and complex features of network video data, this paper proposed a fast algorithm of detecting pornographic video in streaming media. Combining the information of motion vector field and the features of pornographic behavior trajectory, we could judge that weather a video is pornographic or not without decoding it. The experiment show that the algorithm recognition rate is reached 80%, and is robust for network video detection environment

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Periodical:

Applied Mechanics and Materials (Volumes 347-350)

Pages:

3759-3763

DOI:

https://doi.org/10.4028/www.scientific.net/AMM.347-350.3759

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Online since:

August 2013

Authors:

Gui Qing Lv, Zhi Yi Qu

Keywords:

Feature Extraction, H.264, Histogram, Motion Vector, Reciprocating Motion

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