Name
Abstract | ||
|---|---|---|
Focusing on the video text detection, which is challenging and with wide potential applications, a novel stroke width feature is proposed and a system which detects text regions based on multi-scale corner detection is implemented in this paper. In our system, candidate text regions are generated by applying morphologic operation based on corner points detected in different scales, and non-text regions are filtered by combining proposed stroke width feature with some simple geometric properties. Moreover, there is a new multi-instance semi-supervised learning strategy being proposed in this paper considering the unknown contrast parameter in stroke width extraction. Experiments taken on video frames from different kinds of video shots prove that the proposed approach is both efficient and accurate for video text detection. |
Year | DOI | Venue |
|---|---|---|
2013 | 10.1109/VCIP.2013.6706387 | 2013 IEEE INTERNATIONAL CONFERENCE ON VISUAL COMMUNICATIONS AND IMAGE PROCESSING (IEEE VCIP 2013) |
Keywords | Field | DocType |
Video Text Detection, Stroke Width Feature, Multi-Scale, Harris Corner Detector | Computer vision,Pattern recognition,Feature detection (computer vision),Corner detection,Computer science,Image segmentation,Artificial intelligence,Text detection | Conference |
Volume | Issue | Citations |
null | null | 0 |
PageRank | References | Authors |
0.34 | 12 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| boyu zhang | 1 | 71 | 17.54 |
| Jiafeng Liu | 2 | 140 | 18.43 |
| Xianglong Tang | 3 | 288 | 44.84 |