Name
Abstract | ||
|---|---|---|
A framework for scrutinizing baseball videos is proposed. By applying the well-defined baseball rules, this work exactly identifies what happens in a game rather than roughly finding some interesting parts. After extracting the information changes on the superimposed caption, a rule-based decision is applied to detect meaningful events. Only three types of information, including number of outs, number of scores, and base-occupation situation, have to be considered in the detection process. The experimental results show the effectiveness of this framework and demonstrate some research opportunities about generating semantic-level summary or indexing for sports videos. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1109/ISCAS.2005.1465465 | ISCAS (4) |
Keywords | Field | DocType |
video signal processing,rule-based decision,multimedia databases,baseball event detection,game-specific feature sets,baseball videos,indexing,outs,database indexing,base-occupation,sport,sports videos,feature extraction,superimposed caption,meaningful events,semantic-level summary,scores,content-based retrieval,indexation,layout,rule based,data mining,face detection,games,computer vision | Data mining,Information retrieval,Computer science,Search engine indexing,Electronic engineering,Feature extraction,Content based retrieval,Face detection,Database index | Conference |
ISSN | ISBN | Citations |
0271-4302 | 0-7803-8834-8 | 8 |
PageRank | References | Authors |
0.55 | 5 | 5 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chih-hao Liang | 1 | 12 | 1.07 |
| Wei-ta Chu | 2 | 611 | 56.68 |
| Jin-hau Kuo | 3 | 116 | 10.87 |
| Ja-ling Wu | 4 | 1569 | 168.11 |
| Wen-huang Cheng | 5 | 715 | 73.78 |