VisualSEEk: a fully automated content-based image query system
MULTIMEDIA '96 Proceedings of the fourth ACM international conference on Multimedia
When and Why Are Visual Landmarks Used in Giving Directions?
COSIT 2001 Proceedings of the International Conference on Spatial Information Theory: Foundations of Geographic Information Science
Ontology and Geographic Objects: An Empirical Study of Cognitive Categorization
COSIT '99 Proceedings of the International Conference on Spatial Information Theory: Cognitive and Computational Foundations of Geographic Information Science
Enriching Wayfinding Instructions with Local Landmarks
GIScience '02 Proceedings of the Second International Conference on Geographic Information Science
ICPR '98 Proceedings of the 14th International Conference on Pattern Recognition-Volume 1 - Volume 1
A Dynamic Content Integration Language for Video Data and Web Content
WISE '03 Proceedings of the Fourth International Conference on Web Information Systems Engineering
Web Information Retrieval Using Ontology for Children Based on their Lifestyles
ICDEW '05 Proceedings of the 21st International Conference on Data Engineering Workshops
Semantic annotation of images and videos for multimedia analysis
ESWC'05 Proceedings of the Second European conference on The Semantic Web: research and Applications
Mining the web for appearance description
DEXA'07 Proceedings of the 18th international conference on Database and Expert Systems Applications
| Hi-index | 0.00 |
In using web search engines, there are cases where the name of the target object is unavailable, and the user can only give the visual descriptions of the object. The existing keyword-based search engines have limited capabilities under such situations. In the real-space oriented search engines also, there are often cases where the user wants to search using the visual characteristics of the object. In the car or walk navigation systems, the visual descriptions of the buildings are often more useful than their names, when traveling in an unfamiliar area. As a fundamental technology for converting names and visual descriptions of objects, we investigate the method of extracting these pairs from large size texts, such as the Web and encyclopedias. The extracted information is integrated to meet the requirements for such conversions.