Huge amount of information is
being posted on the web on daily basis. Users need
to be provided with tools to enable them to search
for this vast amount of information. Information
Retrieval systems have been designed and
developed trying to help users to locate their
information of interests. The web contains different
kinds of information. Such as, text, audio, video
and other multimedia objects. Among all of those
data types, the text is the only one that is processed
and searched perfectly.
Image is a multimedia object and the image
searching and retrieving is a major challenge in the
web search because the difficulty of defining the
object(s) in each image and for other related issues.
Before, the human computation technique is used
to help labeling the images upon their objects,
which is a very time consuming process.
This research proposes a technique to
determine all images in the web that looks alike to
an already labeled image and then assign them the
same label. Thereafter, the human computation
techniques will be applied only to one of these
similar images instead of applying the same
computation to all of those images. This way we
are minimizing the needed computations.