Leelanupab, T., Feng, Y., Stathopoulos, V. and Jose, J.M. (2009) A simulated user study of image browsing using high-level classification. Lecture Notes in Computer Science, 5887, pp. 3-15. (doi: 10.1007/978-3-642-10543-2_3)
Full text not currently available from Enlighten.
Abstract
In this paper, we present a study of adaptive image browsing, based on high-level classification. The underlying hypothesis is that the performance of a browsing model can be improved by integrating high-level semantic concepts. We introduce a multi-label classification model designed to alleviate a binary classification problem in image classification. The effectiveness of this approach is evaluated by using a simulated user evaluation methodology. The results show that the classification assists users to narrow down the search domain and to retrieve more relevant results with respect to less amount of browsing effort.
| Item Type: | Articles |
|---|---|
| Status: | Published |
| Refereed: | Yes |
| Glasgow Author(s) Enlighten ID: | Jose, Professor Joemon and Leelanupab, Mr Teerapong and Stathopoulos, Mr Vasileios and Feng, Mr Yue |
| Authors: | Leelanupab, T., Feng, Y., Stathopoulos, V., and Jose, J.M. |
| Subjects: | Q Science > QA Mathematics > QA75 Electronic computers. Computer science |
| College/School: | College of Science and Engineering > School of Computing Science |
| Journal Name: | Lecture Notes in Computer Science |
| ISSN: | 0302-9743 |
| ISSN (Online): | 1611-3349 |
| Published Online: | 18 November 2009 |
University Staff: Request a correction | Enlighten Editors: Update this record
Altmetric
Altmetric