Abstract
How to narrow the gap between low level features and high level features is still a challenging problem in computer vision field. The word-net is used to solve this problem in terms of image retrieval. Firstly, dominant colors from the images are extracted. Then the links between the dominant colors and image content using the word-net are established. And in the semantics based image retrieval system, relevance feedback is used to improve the retrieval accuracy. Experimental results show that the algorithm can be applied to the large amount of images and the high accuracy is obtained.
| Original language | English |
|---|---|
| Pages (from-to) | 75-78 |
| Number of pages | 4 |
| Journal | Nanjing Hangkong Hangtian Daxue Xuebao/Journal of Nanjing University of Aeronautics and Astronautics |
| Volume | 37 |
| Issue number | 1 |
| State | Published - Feb 2005 |
Keywords
- Dominant color
- Image retrieval
- Relevance feedback
- Word-net