CS564 – Lecture 21 Visual Attention Laurent Itti USC.

Slides:

Advertisements

Similar presentations

Psych 216: Movement Attention. What is attention? There is too much information available in the world to process it all. Demonstration: change-detection.

Advertisements

Covert Attention Mariel Velez What is attention? Attention is the ability to select objects of interest from the surrounding environment Involuntary.

Semantic consistency versus perceptual salience in visual scenes: Findings from change detection Spotorno, S., Tatler, B. W., & Faure, S. (2013). Acta.

LECTURE 2: LOOKING AT LANDSCAPES 1VISUAL PERCEPTION 2VISUAL ELEMENTS 3PERCEPTUAL RELATIONSHIPS.

Image Retrieval Using Eye Movements Fred Stentiford & Wole Oyekoya University College London.

How does the brain decide what to look at next? John Findlay University of Durham (acknowledgements to Val Brown)

Orienting Attention. Control of Attention Major Distinctions: VoluntaryReflexive.

September 8, 2009Introduction to Cognitive Science Lecture 1: Introduction and Preliminaries 1 Happy New Semester and Welcome to Intro to Cognitive Science!

Treisman Visual Search Demo. Visual Search Tasks  Can detect features without applying attention  But detecting stimulus conjunctions requires attention.

Read article by Anne Treisman. Stages of Selection.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 1: Overview & Introduction 1 Computational Architectures in Biological.

Visual Attention More information in visual field than we can process at a given moment Solutions Shifts of Visual Attention related to eye movements Some.

Computational Architectures in Biological Vision, USC, Spring 2001

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 4: Introduction to Vision 1 Computational Architectures in Biological.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 6: Low-level features 1 Computational Architectures in Biological.

Michael Arbib & Laurent Itti: CS664 – Spring Lecture 5: Visual Attention (bottom-up) 1 CS 664, USC Spring 2002 Lecture 7. Visual Attention (top-down)

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC. Lecture 12: Visual Attention 1 Computational Architectures in Biological Vision,

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 1: Overview & Introduction 1 Computational Architectures in Biological.

Attention. Looking without Seeing.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 2: Neuroscience Basics 1 Computational Architectures in Biological.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 8: Stereoscopic Vision 1 Computational Architectures in Biological.

Michigan State University 1 “Saliency-Based Visual Attention” “Computational Modeling of Visual Attention”, Itti, Koch, (Nature Reviews – Neuroscience.

Computational Architectures in Biological Vision, USC, Spring 2001

Laurent Itti: CS564 – Brain theory and artificial intelligence. Scene Perception 1 Brain theory and artificial intelligence Lecture 23. Scene Perception.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 2: Neuroscience Basics 1 Computational Architectures in Biological.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 7: Coding and Representation 1 Computational Architectures in.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 4: Introduction to Vision 1 Computational Architectures in Biological.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 5: Introduction to Vision 2 1 Computational Architectures in.

Michael Arbib & Laurent Itti: CS664 – Spring Lecture 5: Visual Attention (bottom-up) 1 CS 664, USC Spring 2002 Lecture 5. Visual Attention (bottom-up)

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC. Lecture 13: Scene Perception 1 Computational Architectures in Biological Vision,

Neural mechanisms of feature- based attention Taosheng Liu.

Overview of upcoming lectures 1/15: General introduction to vision, brain and the “minimal subscene” 1/17: Overview and discussion of projects 1/22: Visual.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 13: Scene Perception 1 Computational Architectures in Biological.

BATTLECAM™: A Dynamic Camera System for Real-Time Strategy Games Yangli Hector Yee Graphics Programmer, Petroglyph Elie Arabian.

A Model of Saliency-Based Visual Attention for Rapid Scene Analysis Laurent Itti, Christof Koch, and Ernst Niebur IEEE PAMI, 1998.

Goals: Understanding face proportions How to Draw a Face.

Revelation – A Book of Contrasts REVELATION 1:3 TEXT.

Psych 216: Movement Attention. What is attention? Covert and overt selection appear to recruit the same areas of the brain.

Research backdrop… Neuroscience Visuomotor Control Applied Sport Psychology Cognitive Psychology Visuomotor Skills: LEARN REFINE (master) PERFORM (under.

1 CVD Cerebral Visual Disturbance Olga Miller: Lecture Jan 2011 Olga Miller: Lecture Jan 2011.

黃文中 Introduction The Model Results Conclusion 2.

Functional Brain Signal Processing: EEG & fMRI Lesson 9 Kaushik Majumdar Indian Statistical Institute Bangalore Center M.Tech.

Department of Psychology & The Human Computer Interaction Program Vision Sciences Society’s Annual Meeting, Sarasota, FL May 13, 2007 Jeremiah D. Still,

Direct Instruction What is it? Teaching strategy which is teacher centered and involves lots of information being transmitted to the students. Typically.

Jochen Triesch, UC San Diego, 1 Attention Outline: Overview bottom-up attention top-down attention physiology of attention.

Laurent Itti: CS599 – Computational Architectures in Biological Vision, USC Lecture 12: Visual Attention 1 Computational Architectures in Biological.

PRINCIPLES OF DESIGN by Mariana Pego. PROPORTION  Proportion refers to the relative size and scale of parts of a whole (elements within an object).

Laurent Itti: CS564 - Brain Theory and Artificial Intelligence. Saccades 1 1 L. Itti: CS564 - Brain Theory and Artificial Intelligence University of Southern.

Developing Powerpoint for green screen Gabi Hurlen, HiOA and doing lectures on screen in general.

Spatial Attention, Object-Based Attention & Unilateral Neglect Psychology 355: Cognitive Psychology Instructor: John Miyamoto 4/15 /2015: Lecture 03-3.

Biologically Inspired Vision-based Indoor Localization Zhihao Li, Ming Yang

Visual Attention (neural mechanisms) Arash Afraz.

Behavior Modification: What Is It?

BATTLECAM™: A Dynamic Camera System for Real-Time Strategy Games

Implementation of a Visual Attention Model

Microsaccades Counteract Visual Fading during Fixation

مبررات إدخال الحاسوب في رياض الأطفال

دانشگاه شهیدرجایی تهران

تعهدات مشتری در کنوانسیون بیع بین المللی

Schematic representation of the dorsal and ventral attentional systems (DAS, VAS, outlined in blue and orange, respectively), the visual areas, and their.

Organic Shape Design.

21twelveinteractive.com/ twitter.com/21twelveI/ facebook.com/21twelveinteractive/ linkedin.com/company/21twelve-interactive/ pinterest.com/21twelveinteractive/

CS160 Discussion Section Matthew Kam Mar 17, 2003.

CS 140 Lecture Notes: Introduction

Visual Attention 1 Arash Afraz

CS 140 Lecture Notes: Introduction

A Proactive and Positive Approach To Classroom Management

Behavior Modification: What Is It?

Week 4b: Ion channel structure

Week 4b: Ion channel structure

Presentation transcript:

CS564 – Lecture 21 Visual Attention Laurent Itti USC

Itti & Koch, Nat Rev Neurosci, Mar. 2001

Covert vs Overt Attention Covert attention: shift attention without eye movements. Very fast (up to 20 items/sec) Overt attention: move eyes. Slower (3-4 items/sec) How do both forms of attention interact?

Brefczynski & DeYoe, Nature Neuroscience 1999

Treue & Martinez-Trujillo, Nature 1999