Cheston Tan
Vision and Memory: Looking Beyond Immediate Visual Perception
Tan, Cheston; Lallee, Stephane; Mandal, Bappaditya
Abstract
The topic of vision is “often studied as if our conscious experience were the ultimate end-product of visual processing” (Hayhoe 2009), with research sometimes overly focused on immediate visual perception—processes aimed at understanding the current visual scene or episode. However, in many situations, visual perception alone is insufficient, and what is also needed is visual memory. In particular, natural visual behavior in the real world requires much more than just understanding the present scene, and often involves the deliberate choice and planning of a sequence of routines or operations involving both vision and memory. These routines are under the active control of the system, and dynamically affect what is seen: the choice of routine affects what is seen, and conversely, what is seen affects subsequent choice of routine. Thus, in real-world tasks, visual perception and memory are intrinsically linked. In this chapter, we explain how for real-world visual tasks, immediate visual perception is not sufficient, and it interacts with visual memory virtually all the time.
Citation
Tan, C., Lallee, S., & Mandal, B. (2017). Vision and Memory: Looking Beyond Immediate Visual Perception. In Computational and Cognitive Neuroscience of Vision (195-219). Springer. https://doi.org/10.1007/978-981-10-0213-7_9
Online Publication Date | Oct 4, 2016 |
---|---|
Publication Date | 2017 |
Deposit Date | Nov 21, 2023 |
Publisher | Springer |
Pages | 195-219 |
Series Title | Cognitive Science and Technology |
Series ISSN | 2195-3988; 2195-3996 |
Book Title | Computational and Cognitive Neuroscience of Vision |
Chapter Number | 9 |
ISBN | 9789811002113; 9789811002137 |
DOI | https://doi.org/10.1007/978-981-10-0213-7_9 |
Keywords | Visual Search; Visual Perception; Visual Memory; Visual Attribute; Rubber Hand |
Publisher URL | https://link.springer.com/chapter/10.1007/978-981-10-0213-7_9 |
You might also like
Interpretative Attention Networks for Structural Component Recognition
(2024)
Presentation / Conference Contribution
Grid LSTM based Attention Modelling for Traffic Flow Prediction
(2024)
Presentation / Conference Contribution
Towards Quantification of Eye Contacts Between Trainee Doctors and Simulated Patients in Consultation Videos
(2024)
Presentation / Conference Contribution
Unified Deep Ensemble Architecture for Multiple Classification Tasks
(2024)
Presentation / Conference Contribution
Visual Attention Assisted Games
(2023)
Presentation / Conference Contribution
Downloadable Citations
About Keele Repository
Administrator e-mail: research.openaccess@keele.ac.uk
This application uses the following open-source libraries:
SheetJS Community Edition
Apache License Version 2.0 (http://www.apache.org/licenses/)
PDF.js
Apache License Version 2.0 (http://www.apache.org/licenses/)
Font Awesome
SIL OFL 1.1 (http://scripts.sil.org/OFL)
MIT License (http://opensource.org/licenses/mit-license.html)
CC BY 3.0 ( http://creativecommons.org/licenses/by/3.0/)
Powered by Worktribe © 2025
Advanced Search