Name
Abstract | ||
|---|---|---|
We present a novel computational model to explore the relatedness of objectness and saliency, each of which plays an important role in the study of visual attention. The proposed framework conceptually integrates these two concepts via constructing a graphical model to account for their relationships, and concurrently improves their estimation by iteratively optimizing a novel energy function realizing the model. Specifically, the energy function comprises the objectness, the saliency, and the interaction energy, respectively corresponding to explain their individual regularities and the mutual effects. Minimizing the energy by fixing one or the other would elegantly transform the model into solving the problem of objectness or saliency estimation, while the useful information from the other concept can be utilized through the interaction term. Experimental results on two benchmark datasets demonstrate that the proposed model can simultaneously yield a saliency map of better quality and a more meaningful objectness output for salient object detection. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/ICCV.2011.6126333 | ICCV |
Keywords | Field | DocType |
visual saliency,salient object detection,energy function,meaningful objectness output,interaction energy,novel computational model,saliency estimation,interaction term,novel energy function,generic objectness,graphical model,saliency map,edge detection,computer model,model specification,image fusion | Computer vision,Object detection,Saliency map,Salient object detection,Pattern recognition,Image fusion,Computer science,Salience (neuroscience),Visual attention,Artificial intelligence,Graphical model,Visual saliency | Conference |
Volume | Issue | ISSN |
2011 | 1 | 1550-5499 |
Citations | PageRank | References |
153 | 4.44 | 19 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Kai-yueh Chang | 1 | 273 | 8.22 |
| Tyng-Luh Liu | 2 | 1384 | 85.56 |
| Hwann-Tzong Chen | 3 | 826 | 52.13 |
| Shang-Hong Lai | 4 | 1169 | 124.03 |