© 2002

Media Computing

Computational Media Aesthetics

  • Chitra Dorai
  • Svetha Venkatesh

Part of the The Springer International Series in Video Computing book series (VICO, volume 4)

Table of contents

  1. Front Matter
    Pages i-xxiii
  2. Chitra Dorai, Svetha Venkatesh
    Pages 1-9
  3. Herbert Zettl
    Pages 11-38
  4. Brett Adams, Chitra Dorai, Svetha Venkatesh
    Pages 57-84
  5. Alberto Del Bimbo, Pietro Pala, Enrico Vicario
    Pages 85-104
  6. Silvia Pfeiffer, Uma Srinivasan
    Pages 105-129
  7. Simon Moncrieff, Chitra Dorai, Svetha Venkatesh
    Pages 131-157
  8. Frank Nack
    Pages 159-196
  9. Back Matter
    Pages 197-198

About this book


Traditionally, scientific fields have defined boundaries, and scientists work on research problems within those boundaries. However, from time to time those boundaries get shifted or blurred to evolve new fields. For instance, the original goal of computer vision was to understand a single image of a scene, by identifying objects, their structure, and spatial arrangements. This has been referred to as image understanding. Recently, computer vision has gradually been making the transition away from understanding single images to analyz­ ing image sequences, or video understanding. Video understanding deals with understanding of video sequences, e. g. , recognition of gestures, activities, fa­ cial expressions, etc. The main shift in the classic paradigm has been from the recognition of static objects in the scene to motion-based recognition of actions and events. Video understanding has overlapping research problems with other fields, therefore blurring the fixed boundaries. Computer graphics, image processing, and video databases have obvious overlap with computer vision. The main goal of computer graphics is to gener­ ate and animate realistic looking images, and videos. Researchers in computer graphics are increasingly employing techniques from computer vision to gen­ erate the synthetic imagery. A good example of this is image-based rendering and modeling techniques, in which geometry, appearance, and lighting is de­ rived from real images using computer vision techniques. Here the shift is from synthesis to analysis followed by synthesis.


MPEG MPEG-7 Mapping image processing information modeling multimedia signal processing

Editors and affiliations

  • Chitra Dorai
    • 1
  • Svetha Venkatesh
    • 2
  1. 1.IBM Thomas J. Watson Research CenterYorktown HeightsUSA
  2. 2.Curtin UniversityPerthAustralia

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