Abstract
With the increasing number of Web images and social photograph sharing sites, effective search of real-world images becomes a formidable challenge and an important necessity. Different indexing and annotation algorithms are required for different types of Web images. To meet the challenge and provide satisfactory search results to users, we present a multi-level method with four levels differentially applied to different types of Web images. The performance of our method is evaluated by experiments on thousands of Web images and tags in different subsets, and our approach is able to yield highly promising results compared with applying a single method to all types of Web images.
Original language | English |
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Pages (from-to) | 147-154 |
Number of pages | 8 |
Journal | Procedia Environmental Sciences |
Volume | 11 |
Issue number | PART A |
DOIs | |
Publication status | Published - 2011 |
Event | 2011 2nd International Conference on Challenges in Environmental Science and Computer Engineering, CESCE 2011 - Haikou, China Duration: 14 Dec 2011 → 15 Dec 2011 |
Scopus Subject Areas
- Ecology, Evolution, Behavior and Systematics
- General Environmental Science
- Geography, Planning and Development
- General Earth and Planetary Sciences
User-Defined Keywords
- Automatic annotation
- CYC inference
- Image retrival
- MPEG-7
- Scene analysis