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

@article{2006-12689-003, 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. (PsycINFO Database Record (c) 2008 APA, all rights reserved)}, address = {Antonio Torralba, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Office 32-D462, The Stata Center, 32 Vassar Street, Cambridge, MA, US, 02139, torralba@csail.mit.edu}, author = {Torralba, Antonio and Oliva, Aude and Castelhano, Monica S. and Henderson, John M.}, citeulike-article-id = {5206863}, citeulike-linkout-0 = {http://dx.doi.org/10.1037/0033-295X.113.4.766}, doi = {10.1037/0033-295X.113.4.766}, isbn = {0033-295X (Print); 1939-1471 (Electronic)}, journal = {Psychological Review}, keywords = {\_2sync, eye-movements, gist, vision}, number = {4}, pages = {766--786}, posted-at = {2009-07-20 09:15:57}, priority = {2}, publisher = {American Psychological Association: US}, 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 - 2006-12689-003 L3 - citeulike-article-id:5206863 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. (PsycINFO Database Record (c) 2008 APA, all rights reserved) IS - 4 JF - Psychological Review SN - 0033-295X (Print); 1939-1471 (Electronic) AD - Antonio Torralba, Computer Science and Artificial Intelligence Laboratory, Massachusetts Institute of Technology, Office 32-D462, The Stata Center, 32 Vassar Street, Cambridge, MA, US, 02139, torralba@csail.mit.edu EP - 786 TI - Contextual guidance of eye movements and attention in real-world scenes: The role of global features in object search. PB - American Psychological Association: US VL - 113 SP - 766 KW - _2sync KW - eye-movements KW - gist KW - vision AU - Torralba, Antonio AU - Oliva, Aude AU - Castelhano, Monica AU - Henderson, John PY - 2006/// UR - http://dx.doi.org/10.1037/0033-295X.113.4.766 ER -