Name
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. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/ALPIT.2007.80 | ALPIT |
Keywords | Field | DocType |
information technology,internet,information analysis,business communication,lead,videoconference | Data stream mining,World Wide Web,Internet video,Directory,Computer science,Business communication,Videoconferencing,Vocabulary,Multimedia,The Internet | Conference |
Citations | PageRank | References |
0 | 0.34 | 1 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Dong-uk Cho | 1 | 9 | 2.35 |
| Bong-Hyun Kim | 2 | 112 | 10.88 |
| Sehwan Lee | 3 | 41 | 5.30 |
| Min-kyoung Ka | 4 | 0 | 0.34 |
| Sun-Ae Park | 5 | 18 | 1.17 |
| Byongseok Min | 6 | 0 | 1.01 |
| Seungjong Kim | 7 | 22 | 6.91 |
| Dong Kyun Lim | 8 | 0 | 1.01 |
| Sang-young Oh | 9 | 8 | 1.28 |