Abstract
Machine “sees” every pixel in an image, but can it detect, say, happiness or excitement in a picture or video? Can it EVER “feel” the emotions or semantics behind?
Machine can see “The colors of the rainbow So pretty in the sky” But can it see that they “Are also on the faces Of people passing by”?
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
Author information
Authors and Affiliations
Rights and permissions
Copyright information
© 2003 Springer Science+Business Media New York
About this chapter
Cite this chapter
Zhou, X.S., Rui, Y., Huang, T.S. (2003). Overview of Visual Information Representation. In: Exploration of Visual Data. The Springer International Series in Video Computing, vol 7. Springer, Boston, MA. https://doi.org/10.1007/978-1-4615-0497-9_2
Download citation
DOI: https://doi.org/10.1007/978-1-4615-0497-9_2
Publisher Name: Springer, Boston, MA
Print ISBN: 978-1-4613-5106-1
Online ISBN: 978-1-4615-0497-9
eBook Packages: Springer Book Archive