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| Content Provider | ACM Digital Library |
|---|---|
| Author | Yang, Xianfeng Xue, Ping Tian, Qi |
| Abstract | Identifying short repeated video clips, such as news program logo, station logo, TV commercials, etc., from broadcasting video databases or streams is important for video content indexing, personalization as well as monitoring. In this demo system we present the following two functions: 1) automatically identifying variable length unknown repeated clips and known reference clips from video collections or steams; 2) visualize temporal distribution of repeated short video clips and analyze video structure based them. Experiment has been conducted on 12 hour CNN and ABC news videos, and excellent results have been achieved in both short repeated video clip identification and news video structure analysis. |
| Starting Page | 227 |
| Ending Page | 228 |
| Page Count | 2 |
| File Format | |
| ISBN | 1595930442 |
| DOI | 10.1145/1101149.1101189 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2005-11-06 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Video structure analysis Video correlation Repeated video clip |
| Content Type | Text |
| Resource Type | Article |
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