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.
- Comprehensive introductory text
- Introduces the reader to the large world of imagery on which many human activities are based, from politics to entertainment, from technical reports to artistic creations
- Provides a unified framework where both biological and artificial vision are discussed through visual cues, through the role of contexts and the available multi-channels to deliver information
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- Vision mechanisms
- The image contents
PART II: Visual cues
- Cues after artists (Lighting, Perspective, Relations) and tracks
- Image data tracks
- Image organization tracks
- Multi image tracks
PART III: Visual contexts pp: 50
- Contexts after artists (Retrieval, Recognition and Research) and tracks
- Immediate context
- Structure bound context
- Interpretation bound context
PART IV: Visual channels
- Channels after artists (Vision, Perception, Action)
- Visual data structures
- Perceptual structures
- Visual communication
PART V: A vision about future developments
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: firstname.lastname@example.org