Abstract
For scenery character detection, we introduce environmental context, which is modeled by scene components, such as sky and building. Environmental context is expected to regulate the probability of character existence at a specific region in a scenery image. For example, if a region looks like a part of a building, the region has a higher probability than another region like a part of the sky. In this paper, environmental context is represented by state-of-the-art texture and color features and utilized in two different ways. Through experimental results, it was clearly shown that the environmental context has an effect of improving detection accuracy.
| Original language | English |
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| Title of host publication | Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011 |
| Pages | 1049-1053 |
| Number of pages | 5 |
| DOIs | |
| Publication status | Published - Dec 2 2011 |
| Event | 11th International Conference on Document Analysis and Recognition, ICDAR 2011 - Beijing, China Duration: Sep 18 2011 → Sep 21 2011 |
Publication series
| Name | Proceedings of the International Conference on Document Analysis and Recognition, ICDAR |
|---|---|
| ISSN (Print) | 1520-5363 |
Other
| Other | 11th International Conference on Document Analysis and Recognition, ICDAR 2011 |
|---|---|
| Country | China |
| City | Beijing |
| Period | 9/18/11 → 9/21/11 |
All Science Journal Classification (ASJC) codes
- Computer Vision and Pattern Recognition
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Cite this
Kunishige, Y., Feng, Y., & Uchida, S. (2011). Scenery character detection with environmental context. In Proceedings - 11th International Conference on Document Analysis and Recognition, ICDAR 2011 (pp. 1049-1053). [6065470] (Proceedings of the International Conference on Document Analysis and Recognition, ICDAR). https://doi.org/10.1109/ICDAR.2011.212