| Article ID | Journal | Published Year | Pages | File Type |
|---|---|---|---|---|
| 10359175 | Computer Vision and Image Understanding | 2013 | 10 Pages |
Abstract
⺠We introduce a content-based video retrieval system for a query video shot. ⺠The shot boundaries are found using a classifier learnt from a boosting algorithm. ⺠The similarity of video shots is calculated by spatio-temporal pyramid matching. ⺠The pyramid-matching kernel includes temporal dimension into the matching schema. ⺠Experiments using sports and UCF50 shows effectiveness of our method.
Keywords
Related Topics
Physical Sciences and Engineering
Computer Science
Computer Vision and Pattern Recognition
Authors
Jaesik Choi, Ziyu Wang, Sang-Chul Lee, Won J. Jeon,