Name
Title | ||
|---|---|---|
Visual Quality Evaluation of Image Object Segmentation: Subjective Assessment and Objective Measure |
Abstract | ||
|---|---|---|
A visual quality evaluation of image object segmentation as one member of the visual quality evaluation family has been studied over the years. Researchers aim at developing the objective measures that can evaluate the visual quality of object segmentation results in agreement with human quality judgments. It is also significant to construct a platform for evaluating the performance of the objecti... |
Year | DOI | Venue |
|---|---|---|
2015 | 10.1109/TIP.2015.2473099 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
Visualization,Object segmentation,Image segmentation,Distortion measurement,Visual databases,Semantics | Computer vision,Scale-space segmentation,Pattern recognition,Visualization,Segmentation,Computer science,Segmentation-based object categorization,Image segmentation,Artificial intelligence,Semantics | Journal |
Volume | Issue | ISSN |
24 | 12 | 1057-7149 |
Citations | PageRank | References |
4 | 0.37 | 28 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ran Shi | 1 | 70 | 7.08 |
| King Ngi Ngan | 2 | 2383 | 185.21 |
| Songnan Li | 3 | 323 | 19.67 |
| Paramesran Raveendran | 4 | 183 | 20.02 |
| Hongliang Li | 5 | 1833 | 101.92 |