Detail of Publication
| Text Language | English |
|---|---|
| Authors | Martin Klinkigt and Koichi Kise and Andreas Dengel |
| Title | Generic and Specific Object Recognition for Semantic Retrieval of Images |
| Journal | 15th International Conference on Knowledge-Based and Intelligent Information & Engineering Systems |
| Vol. | 6881 |
| Pages | pp.397-406 |
| Publisher | Springer LNCS |
| Reviewed or not | Reviewed |
| Month & Year | September 2011 |
| Abstract | Since the availability of large digital image collections the need for a proper management of them raises. New technologies as annotations or tagging support the user by doing this task. However, this task is time-consuming and, therefore, automatic annotation systems are requested. Working outside of controlled laboratory environments this request is challenging. In this paper we propose a system automatically adapted to the user's needs, providing useful annotations. We utilize Wikipedia to learn instances and abstract classes. With an evaluation in a complex use-case and dataset we show the possibility of such an attempt and achieve practical recognition rates of 26% on specific instance and 64% on abstract class level. |
- Entry for BibTeX
@InProceedings{Dengel2011, author = {Martin Klinkigt and Koichi Kise and Andreas Dengel}, title = {Generic and Specific Object Recognition for Semantic Retrieval of Images}, booktitle = {15th International Conference on Knowledge-Based and Intelligent Information \& Engineering Systems}, year = 2011, month = sep, volume = {6881}, pages = {397--406}, publisher = {Springer LNCS} }