Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.

@article{citeulike:884222, abstract = {Many experiments have shown that the human visual system makes extensive use of contextual information for facilitating object search in natural scenes. However, the question of how to formally model contextual influences is still open. On the basis of a Bayesian framework, the authors present an original approach of attentional guidance by global scene context. The model comprises 2 parallel pathways; one pathway computes local features (saliency) and the other computes global (scene-centered) features. The contextual guidance model of attention combines bottom-up saliency, scene context, and top-down mechanisms at an early stage of visual processing and predicts the image regions likely to be fixated by human observers performing natural search tasks in real-world scenes. ((c) 2006 APA, all rights reserved).}, address = {Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, US. torralba@csail.mit.edu.}, author = {Torralba, A. and Oliva, A. and Castelhano, M. S. and Henderson, J. M. }, citeulike-article-id = {884222}, doi = {http://dx.doi.org/10.1037/0033-295X.113.4.766}, issn = {0033-295X}, journal = {Psychol Rev}, month = {October}, number = {4}, pages = {766--786}, posted-at = {2006-10-05 02:14:30}, priority = {2}, title = {Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search.}, url = {http://dx.doi.org/10.1037/0033-295X.113.4.766}, volume = {113}, year = {2006} }

TY - JOUR ID - citeulike:884222 L3 - citeulike-article-id:884222 TI - Contextual guidance of eye movements and attention in real-world scenes: the role of global features in object search. JF - Psychol Rev VL - 113 IS - 4 SP - 766 EP - 786 AD - Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Cambridge, MA, US. torralba@csail.mit.edu. SN - 0033-295X N2 - Many experiments have shown that the human visual system makes extensive use of contextual information for facilitating object search in natural scenes. However, the question of how to formally model contextual influences is still open. On the basis of a Bayesian framework, the authors present an original approach of attentional guidance by global scene context. The model comprises 2 parallel pathways; one pathway computes local features (saliency) and the other computes global (scene-centered) features. The contextual guidance model of attention combines bottom-up saliency, scene context, and top-down mechanisms at an early stage of visual processing and predicts the image regions likely to be fixated by human observers performing natural search tasks in real-world scenes. ((c) 2006 APA, all rights reserved). AU - Torralba, A AU - Oliva, A AU - Castelhano, MS AU - Henderson, JM PY - 2006/10// UR - http://dx.doi.org/10.1037/0033-295X.113.4.766 ER -