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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Yin Jian Yu Xiu Dong Meng |
| Copyright Year | 2010 |
| Description | Author affiliation: School of Information Engineering, Shandong University at Weihai, China (Yin Jian; Yu Xiu; Dong Meng) |
| Abstract | How to effectively organize and manage vast amounts of video data on the Internet, and easily find the information people want is now one of the hotspots. Content-based video retrieval is an important means of managing video database, the efficiency of video retrieval has a direct impact on the efficiency of database management. For the video is unstructured data, the traditional video retrieval cannot be as quick and efficient as text retrieval. In this article, firstly make the unstructured video data into curve, mark the feature string of it, and then do the approximate string matching, to achieve fast and efficient retrieval of video. Experiments show that the method has a good effect. |
| File Size | 1040770 |
| File Format | |
| ISBN | 9781424465392 |
| ISSN | 21547491 |
| e-ISBN | 9781424465422 |
| DOI | 10.1109/ICACTE.2010.5579482 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-20 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | video retrieval approximate string matching Motion pictures Robustness quantitative characteristics key frame |
| Content Type | Text |
| Resource Type | Article |
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