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Cover image for 3C vision : cues, contexts and channels
Title:
3C vision : cues, contexts and channels
Personal Author:
Edition:
1st ed.
Publication Information:
Boston : Elsevier, c2011
Physical Description:
xiv, 237 p. : ill. (some col.) ; 16 cm.
ISBN:
9780123852205

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30000010306268 TA1637 C364 2011 Open Access Book Book
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Summary

Summary

The exponential explosion of images and videos concerns everybody's common life, since this media is now present everywhere and in all human activities. Scientists, artists and engineers, in any field, need to be aware of the basic mechanisms that allow them to understand how images are essentially information carriers. Images bear a strong evocative power because their perception quickly brings into mind a number of related pictorial contents of past experiences and even of abstract concepts like pleasure, attraction or aversion.This book analyzes the visual hints, thanks to which images are generally interpreted, processed and exploited both by humans and computer programs.


Author Notes

Virginio Cantoni received the Laurea (cum laude) in Electronic Engineering in 1972 from Pavia University, Italy. He was a researcher of the Italian National Research Council from 1975 to 1983, and is presently a Full Professor of Computer Programming at Pavia University. From 1989 to 1995 Cantoni was Director of the Deparment of Computer Engineering, and from 1985 to 1990, he was the President of the Italian Group of the International Association for Pattern Recognition. He has been a Visiting Professor at Rutgers University, and has been Invited Professor at the Paris XI University. Levialdi is a Fellow of the IAPR and a senior member of IEEE.

Dr Stefano Levialdi, IEEE Life Fellow, has published 300 papers on image processing, image communication and, in these last years, his research has focused on Human/Computer Interaction (visual languages and usability). He is Full Professor of Computer Science at Sapienza, Rome University since 1981. He won the Chair of Excelence at Carlos III University in Madrid. He has organized, chaired and contributed to over 50 International meetings. He is the Director of LUA (Laboratory of Usability and Accessibility at Sapienza). He is now retired, but works for the Elsevier Journal (JVLC) and reviews national research projects. His email is: stefano.levialdi@gmail.com


Table of Contents

Forewordp. ix
Prefacep. xi
Acknowledgmentsp. xv
1 Natural and Artificial Visionp. 1
Natural Visionp. 3
Artificial Visionp. 4
Destructuring Imagesp. 5
Structuring Imagesp. 6
The V-Schemap. 7
Images as Information Carriersp. 8
Dissecting Imagesp. 9
Artificial Vision Strategiesp. 10
Refiningp. 11
Scanningp. 12
Focusingp. 14
Trackingp. 15
Hypothesis Testingp. 15
Implementing on the Flyp. 16
Conclusionsp. 16
2 Visual Cuesp. 19
The Human Headwayp. 19
Image Computer-Processing Tracksp. 20
The Photometric Trackp. 21
Local Renderingp. 21
Photometric Analysisp. 25
Image Synthesis Following the Phong's Modelp. 27
Global Renderingp. 27
Chromatic Cluesp. 33
The Morphological Trackp. 44
Shape Representationp. 46
Shape Extractionp. 62
Region Extractionp. 71
The Spatial Trackp. 77
Space Modelingp. 77
Space Extractionp. 88
Decision Methodsp. 99
Statistical Decisionp. 100
Structural Decisionp. 101
Semantic Decisionp. 104
Conclusionp. 105
3 The Role of Contextsp. 115
Contexts According to Artistsp. 115
Direct Retrievalp. 116
Recognition-Based Retrievalp. 116
Search-Based Retrievalp. 117
Context in Natural and Artificial Visionp. 119
An Operative Definition of Context and Eventsp. 121
The Perception and Action Frameworkp. 123
The Biological Solutionp. 123
The Multiresolution Artificial Approachp. 124
A Common Paradigm for Biological and Artificial Visionp. 125
Direct Retrievalp. 128
The Biological Visual Searchp. 129
The Artificial Visual Searchp. 132
Recognition-Based Retrievalp. 134
The Biological Visual Classificationp. 134
The Computer Vision Solutionp. 137
Search-Based Retrievalp. 146
Biological Context-Bound Interpretationp. 146
The Automatic Behavior Analysis Trackp. 147
Contexts and New Technologiesp. 153
Toward Multimedia: Image Retrieval via Contextp. 153
Cooperative Data Analysisp. 164
4 Channeling the Informationp. 177
Filling the Channelsp. 177
Multimedia Exploitationp. 179
Icons and Metaphorsp. 183
Content Structurep. 183
Social Interactionp. 184
Role Renderingp. 184
Multimedia Exploitationp. 185
Seeing Through the Webp. 186
Looking with the Webp. 187
Ambient Intelligencep. 192
Augmented Realityp. 194
Pictorial Indexingp. 195
Annotationp. 197
Multimedia Communicationp. 199
Icons and Metaphorsp. 201
Current Iconsp. 203
The Blending Approachp. 204
Structuring the Contentp. 206
Adding a New Channelp. 206
Adding Picturesp. 207
Representation Grammarsp. 208
Media Organizationp. 210
Social Interactionp. 211
Usabilityp. 212
Accessibilityp. 219
Cognitive Networksp. 223
Role Definition for Virtual Realismp. 224
Reality and Illusionp. 224
Gamesp. 227
Animationp. 229
Cyberspacep. 231
Final Remarks and Conclusionsp. 232
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