Name
Abstract | ||
|---|---|---|
Automatic recognition of time and date stamps in CCTV video enables the inclusion of time-based queries in video indexing applications. Such ability needs to deal with problems of low character resolution, non-uniform background, multiplexed video format, and random access to the video file. In this paper, we address these problems and propose a technique that solves the difficult task of character segmentation, by means of a recognition-based process. Our method consists of three main steps: pattern matching, character location and syntactic analysis. The experiments prove the reliability and efficiency of the proposed method, obtaining an overall recognition rate over 80%. |
Year | DOI | Venue |
|---|---|---|
2005 | 10.1007/11553595_86 | ICIAP |
Keywords | Field | DocType |
random access,pattern matching,syntactic analysis,image processing | Computer vision,Video processing,Pattern recognition,Segmentation,Computer science,Optical character recognition,Search engine indexing,Image processing,Video tracking,Artificial intelligence,Pattern matching,Random access | Conference |
Volume | ISSN | ISBN |
3617 | 0302-9743 | 3-540-28869-4 |
Citations | PageRank | References |
0 | 0.34 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ginés García-Mateos | 1 | 58 | 11.27 |
| Andrés García-Meroño | 2 | 0 | 0.34 |
| Cristina Vicente-chicote | 3 | 160 | 22.28 |
| a ruiz | 4 | 35 | 6.27 |
| Pedro E. López-de-teruel | 5 | 52 | 9.75 |