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images is to search for distinctive features of an image. For example, the search tool could
look for images with Lady Liberty’s features such as a torch or the seven spikes in the crown.
Another approach would be to search for distinctive colors of the known image. In this case,
the search engine could look for the distinctive fading green color of the statue.

In either case, these are merely theoretical approaches that would have to be developed. For
example, searching for a distinctive feature of a torch could return hundreds of images of the
use of torches in ancient times. Searching for a feature of a crown could bring back images of
kings and queens of the past. In addition, in order to enter criteria for this type of search tool,
the user would have to draw the desired object or feature. This would present an interesting

challenge for users and developers to establish a good interface for a searching tool of this
type.

Efficiently
searching
video is even
more complex
than still
images
because now
that search
engines or
tools have to
be
sophisticated
enough to
handle
movement,
lighting, and different camera angles. The searching of a video or film would have to be more
sophisticated than to simply search a video frame by frame for the desired result. Users may

also want to search for specific scenes in video or for zooming in and out.

In addition, there would have to be an interface developed to facilitate this type of searching.
Somehow, an interface would have to be set up to allow the user to specify specific scenes in
a video, specific lighting, the zooming in and out, and specific movement. All these present
interesting challenges for the developers to how to provide an easy interface for users to use
when searching video.

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