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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Zhu Songhao Sun Wei Liang Zhiwei |
| Copyright Year | 2012 |
| Description | Author affiliation: School of Automation, Nanjing University of Post and Telecommunications, 210046, China (Zhu Songhao; Sun Wei; Liang Zhiwei) |
| Abstract | The overwhelming amounts of digital images on the Web and personal computers have triggered the requirement of an effective tool to retrieve images of interest using semantic concepts. Due to the semantic gap between low-level features of image content and its high-level conceptual meaning, however, the performances of many existing automatic image annotation algorithms are not so satisfactory. In this paper, a novel approach based on the cognitive science theory is proposed to improve the quality of annotation. The main idea is that tags of an image are considered as nodes within a semantic network and the relevance between each tag and the image is regulated using the spreading activation theory. After the spreading activation process finishes, each image tag will be appointed an appropriate values depending on its relations to other tags. Experimental results conducted on 50,000 Flickr image dataset demonstrate that the proposed scheme can effectively improve the performance of image annotation. |
| Starting Page | 3450 |
| Ending Page | 3454 |
| File Size | 659683 |
| Page Count | 5 |
| File Format | |
| ISBN | 9781457720734 |
| e-ISBN | 9781457720741 |
| DOI | 10.1109/CCDC.2012.6244550 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2012-05-23 |
| Publisher Place | China |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Computer vision Conferences Semantics Image annotation spreading activation algorithm Birds Flickr images Electronic mail Multimedia communication Sun cognitive theory |
| Content Type | Text |
| Resource Type | Article |
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