Title |
Guidance of visual attention by semantic information in real-world scenes
|
---|---|
Published in |
Frontiers in Psychology, January 2014
|
DOI | 10.3389/fpsyg.2014.00054 |
Pubmed ID | |
Authors |
Chia-Chien Wu, Farahnaz Ahmed Wick, Marc Pomplun |
Abstract |
Recent research on attentional guidance in real-world scenes has focused on object recognition within the context of a scene. This approach has been valuable for determining some factors that drive the allocation of visual attention and determine visual selection. This article provides a review of experimental work on how different components of context, especially semantic information, affect attentional deployment. We review work from the areas of object recognition, scene perception, and visual search, highlighting recent studies examining semantic structure in real-world scenes. A better understanding on how humans parse scene representations will not only improve current models of visual attention but also advance next-generation computer vision systems and human-computer interfaces. |
X Demographics
Geographical breakdown
Country | Count | As % |
---|---|---|
Switzerland | 1 | 50% |
United States | 1 | 50% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 2 | 100% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 4 | 2% |
Canada | 2 | 1% |
Italy | 1 | <1% |
Germany | 1 | <1% |
France | 1 | <1% |
United Kingdom | 1 | <1% |
Unknown | 178 | 95% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 33 | 18% |
Student > Master | 33 | 18% |
Researcher | 27 | 14% |
Student > Bachelor | 27 | 14% |
Student > Doctoral Student | 13 | 7% |
Other | 26 | 14% |
Unknown | 29 | 15% |
Readers by discipline | Count | As % |
---|---|---|
Psychology | 100 | 53% |
Neuroscience | 14 | 7% |
Computer Science | 12 | 6% |
Agricultural and Biological Sciences | 6 | 3% |
Social Sciences | 5 | 3% |
Other | 18 | 10% |
Unknown | 33 | 18% |