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| Content Provider | ACM Digital Library |
|---|---|
| Author | Lee, KangWoo Lee, Yubu |
| Abstract | Techniques to identify an attentive object in an image, captured synchronously with an eye tracker, rely on the human fixations being inside the boundary of the object. However, eye tracking experiments show that fixations are often near, but outside an attentive object, when the viewer is not trying to place the fixations inside. If fixations occur outside an object boundary, it is difficult to segment it properly. We address this problem by correlating context-directed visual saliencies with eye fixations. Our model is based on prior specification of the weights applied to bottom-up saliency. Experiments on the meeting scenes indicate that our method achieves a detection rate of 95.6%. |
| Starting Page | 1 |
| Ending Page | 4 |
| Page Count | 4 |
| File Format | |
| ISBN | 9781450333771 |
| DOI | 10.1145/2701126.2701194 |
| Language | English |
| Publisher | Association for Computing Machinery (ACM) |
| Publisher Date | 2015-01-08 |
| Publisher Place | New York |
| Access Restriction | Subscribed |
| Subject Keyword | Context-directed saliency Human eye fixation Visual attention Attentive object segmentation |
| Content Type | Text |
| Resource Type | Article |
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