Abstract
QBE was the most popular manner of CBIR systems. But, "Semantic Gap" is an obstacle to make QBE more efficient. The contribution of this paper was that a framework of QBC (query by concept) was proposed to minimize the effect of "semantic gap". Also, a method was proposed to obtain concepts. An attempt was made with landscape images with "blue sky" and "green grass". Experiment data were about 7000 images collected from Corel database and Internet. The experimental results demonstrated the method was feasible, effective and robust.
| Original language | English |
|---|---|
| Title of host publication | 5th International Conference on Visual Information Engineering, VIE 2008 |
| Pages | 484-487 |
| Number of pages | 4 |
| Edition | 543 CP |
| DOIs | |
| Publication status | Published - 2008 |
| Event | 5th International Conference on Visual Information Engineering, VIE 2008 - Xi'an, China Duration: 29 Jul 2008 → 1 Aug 2008 |
Publication series
| Name | IET Conference Publications |
|---|---|
| Number | 543 CP |
Conference
| Conference | 5th International Conference on Visual Information Engineering, VIE 2008 |
|---|---|
| Country/Territory | China |
| City | Xi'an |
| Period | 29/07/08 → 1/08/08 |
Keywords
- CBIR
- Landscape
- QBC(query by concept)
- QBE
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Wang, Y., Su, L., & Luo, S. (2008). Query by concept - An image retrieval method for landscape images. In 5th International Conference on Visual Information Engineering, VIE 2008 (543 CP ed., pp. 484-487). (IET Conference Publications; No. 543 CP). https://doi.org/10.1049/cp:20080362