Information Technology and Computer Application Engineering – Liu, Sung & Yao (Eds)
© 2014 Taylor & Francis Group, London, ISBN 978-1-138-00079-7
Objectionable information detection based on video content
S. Tang & W.Q. Hu
School of Electro-Information Engineering, Xuchang University, Xuchang, China
ABSTRACT: Preventing the spread of objectionable videos on the network is an arduous task, this paper
attempts to do a preliminary work in this field, a method of detection the objectionable sensitive based on
video content is proposed. First step, the video data is segmented, and the key-frames are extracted from video
shot. Next, the characteristics of the video information are extracted from the key-frames. Finally, objectionable
information judging ...