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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Xiaoyan Li Wei Li Xiang Qi |
| Copyright Year | 2011 |
| Description | Author affiliation: State Key Laboratory of Virtual, Reality Technology and Systems, Beihang University, Beijing 100191, China (Xiaoyan Li; Wei Li; Xiang Qi) |
| Abstract | Content-based sports video retrieval becomes an important branch of multimedia retrieval which is free from traditional manual text labeling. A content-based retrieval system of Badminton sports video based on visual feature is researched and developed in this paper. A Badminton video is first automatically segmented into many sub-clips based on visual features, and then similar video clips can be obtained using sliding sub-clip window algorithm and matching function, among these sub-clips, similar video clips are ranked by a sorting model. The experimental results showed that our system could effectively and efficiently retrieve similar Badminton sports video corresponding with a query clip. |
| Starting Page | 1855 |
| Ending Page | 1858 |
| File Size | 1105192 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781457715860 |
| e-ISBN | 9781457715877 |
| DOI | 10.1109/ICCSNT.2011.6182331 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2011-12-24 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image segmentation Visualization Databases Sliding window Feature extraction Content-based video retrieval Ranking model |
| Content Type | Text |
| Resource Type | Article |
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