Name
Abstract | ||
|---|---|---|
This paper presents the first method for detecting advertisements in digitized press. The system aims at locating and recognizing ads. A color segmentation approach which is robust against digitization noise is introduced. The color separation output is used to carry out layout segmentation in document pages and to compute visual features. Block classification results, given with a variety of magazine and newspaper pages, are presented and discussed. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICME.2011.6011890 | Multimedia and Expo |
Keywords | Field | DocType |
Advertisement detection,document image,segmentation | Computer vision,Digitization,Scale-space segmentation,Advertising,Image texture,Computer science,Document layout analysis,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Region growing,Color image | Conference |
ISSN | ISBN | Citations |
1945-7871 E-ISBN : 978-1-61284-349-0 | 978-1-61284-349-0 | 1 |
PageRank | References | Authors |
0.42 | 11 | 3 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Asma Ouji | 1 | 69 | 3.47 |
| Yann Leydier | 2 | 174 | 10.13 |
| Frank Lebourgeois | 3 | 256 | 23.94 |