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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Cho, Dong-uk Kim, Bong-hyun Lee, Se-hwan Ka, Min-kyoung Park, Sun-ae Min, Byong-seok Kim, Seung-jong Lim, Dong-kyun Oh, Sang-young |
| Copyright Year | 2007 |
| Abstract | In this paper an analysis of current video chatting situation and connection status is performed and a technical method to block the obscene contents is proposed. Methods to shut down socially degenerate Internet sites are well known, which are essentially directory or vocabulary based. For the video chatting sites, however, dynamic selectivity is required as the chatting groups in sites are all different and even in a single group the contents of chatting may turn socially objectionable as time passes. The proposed method is based on the analysis of chatting contents and selectively blocks the sound and/or video data streams. To prove the effectiveness of the method the experiments are performed and the results are shown very satisfactory. |
| Starting Page | 277 |
| Ending Page | 281 |
| File Size | 408748 |
| Page Count | 5 |
| File Format | |
| ISBN | 9780769529301 |
| DOI | 10.1109/ALPIT.2007.80 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2007-08-22 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Business communication Obscenity BlockingVideo ChattingObscene ContentsSignal Analysis Vocabulary Streaming media Lead Educational institutions Internet Performance analysis Information technology Videoconference Information analysis |
| Content Type | Text |
| Resource Type | Article |
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