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Conference Paper Pornographic Video Classification Using Fast Motion Features
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Authors
Jung-Jae Yu, Seung-Wan Han
Issue Date
2015-01
Citation
Korea-Japan Joint Workshop on Frontiers of Computer Vision (FCV) 2015, pp.1-4
Language
English
Type
Conference Paper
DOI
https://dx.doi.org/10.1109/FCV.2015.7103714
Project Code
14MS2700, Development of the Filtering Technology for Objectionable Streaming Contents on Smart Platform, Han Seung Wan
Abstract
In this paper, a novel method to automatically classify an pornographic video using fast motion features is proposed. In proposed method, predefined number of clips without a shot change are extracted from an input video and new, fast motion features are computed for each clip. Each clip is given a pornographic possibility based on motion distribution information. If the possibility is bigger than a threshold value, the clip is regarded as an pornographic clip. Finally, the ratio of pornographic clips is computed and the input video is classified as an pornographic video if the ratio is bigger than a threshold ratio.
KSP Keywords
Motion distribution, Shot Change, Threshold Value, Video classification, distribution information, fast motion, motion features, novel method