Validating a Geographic Image Retrieval System
| dc.contributor.author | Zhu, Bin | |
| dc.contributor.author | Chen, Hsinchun | |
| dc.date.accessioned | 2004-10-13T00:00:01Z | |
| dc.date.available | 2010-06-18T23:36:56Z | |
| dc.date.issued | 2000 | en_US |
| dc.date.submitted | 2004-10-13 | en_US |
| dc.identifier.citation | Validating a Geographic Image Retrieval System 2000, 51(7):625-634 Journal of the American Society for Information Science | en_US |
| dc.identifier.uri | http://hdl.handle.net/10150/105934 | |
| dc.description | Artificial Intelligence Lab, Department of MIS, University of Arizona | en_US |
| dc.description.abstract | This paper summarizes a prototype geographical image retrieval system that demonstrates how to integrate image processing and information analysis techniques to support large-scale content-based image retrieval. By using an image as its interface, the prototype system addresses a troublesome aspect of traditional retrieval models, which require users to have complete knowledge of the low-level features of an image. In addition we describe an experiment to validate the performance of this image retrieval system against that of human subjects in an effort to address the scarcity of research evaluating performance of an algorithm against that of human beings. The results of the experiment indicate that the system could do as well as human subjects in accomplishing the tasks of similarity analysis and image categorization. We also found that under some circumstances texture features of an image are insufficient to represent a geographic image. We believe, however, that our image retrieval system provides a promising approach to integrating image processing techniques and information retrieval algorithms. | |
| dc.format.mimetype | application/pdf | en_US |
| dc.language.iso | en | en_US |
| dc.publisher | Wiley Periodicals, Inc | en_US |
| dc.subject | Artificial Intelligence | en_US |
| dc.subject | Information Extraction | en_US |
| dc.subject.other | National Science Digital Library | en_US |
| dc.subject.other | NSDL | en_US |
| dc.subject.other | Artificial Intelligence lab | en_US |
| dc.subject.other | AI lab | en_US |
| dc.subject.other | Information retrieval | en_US |
| dc.title | Validating a Geographic Image Retrieval System | en_US |
| dc.type | Journal Article (Paginated) | en_US |
| dc.identifier.journal | Journal of the American Society for Information Science | en_US |
| refterms.dateFOA | 2018-08-21T15:25:49Z | |
| html.description.abstract | This paper summarizes a prototype geographical image retrieval system that demonstrates how to integrate image processing and information analysis techniques to support large-scale content-based image retrieval. By using an image as its interface, the prototype system addresses a troublesome aspect of traditional retrieval models, which require users to have complete knowledge of the low-level features of an image. In addition we describe an experiment to validate the performance of this image retrieval system against that of human subjects in an effort to address the scarcity of research evaluating performance of an algorithm against that of human beings. The results of the experiment indicate that the system could do as well as human subjects in accomplishing the tasks of similarity analysis and image categorization. We also found that under some circumstances texture features of an image are insufficient to represent a geographic image. We believe, however, that our image retrieval system provides a promising approach to integrating image processing techniques and information retrieval algorithms. |
