Name
Abstract | ||
|---|---|---|
This paper presents an effective and efficient detection and recognition of scoreboard caption method for baseball videos. The method first identifies the scoreboard type using template matching and then extracts the caption region of each type. Next it recognizes the extracted caption utilizing a novel digit recognition scheme which is constructed by a simple neural network classifier. It results in a much simpler method with significantly higher recognition rate over that of the universal OCR scheme. Experimental results demonstrate the effectiveness of the proposed method and indicate that it identifies twelve scoreboard types correctly and recognizes scoreboard caption over 98%. |
Year | DOI | Venue |
|---|---|---|
2008 | 10.1007/978-3-540-87442-3_43 | ICIC (1) |
Keywords | Field | DocType |
novel digit recognition scheme,baseball videos,scoreboard caption method,simpler method,higher recognition rate,scoreboard type,universal ocr scheme,twelve scoreboard type,scoreboard caption,caption region,template matching | Template matching,Neural network classifier,Pattern recognition,Computer science,Speech recognition,Artificial intelligence,Digit recognition | Conference |
Volume | ISSN | Citations |
5226 | 0302-9743 | 2 |
PageRank | References | Authors |
0.38 | 5 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Chaur-Heh Hsieh | 1 | 354 | 46.89 |
| Chin-Pan Huang | 2 | 57 | 7.56 |
| Mao-Hsiung Hung | 3 | 43 | 6.89 |