Name
Abstract | ||
|---|---|---|
Text detection in stores has valuable applications that could transform the shopping experience, yet cluttered store environments present distinct challenges for existing techniques. We propose a strategy for text detection in stores that exploits a repetition prior. Leveraging the fact that shops typically display multiple instances of the same product on the shelf, our approach localizes text regions with a global view of the image, preferring instances that have repeated support in the scene. On two challenging real-world datasets taken with a mobile phone and wearable camera, we demonstrate our method's substantial advantages compared to several state-of-the-art techniques in grocery store environments. |
Year | DOI | Venue |
|---|---|---|
2016 | 10.1109/WACV.2016.7477575 | 2016 IEEE Winter Conference on Applications of Computer Vision (WACV) |
Keywords | Field | DocType |
text detection,repetition prior,shopping experience,text region localization,mobile phone,wearable camera,grocery store environments | Computer vision,Computer science,Wearable computer,Exploit,Artificial intelligence,Mobile phone,Text recognition,Text detection | Conference |
ISSN | Citations | PageRank |
2472-6737 | 4 | 0.45 |
References | Authors | |
39 | 2 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Bo Xiong | 1 | 58 | 5.74 |
| Kristen Grauman | 2 | 6258 | 326.34 |