INTRODUCTION
Natural Language processing has
been used to solve many problems such as machine translation, sentiment
analysis, parts of speech tagging and many more. On the other hand Image
analysis is also shifting its gear up in the era of upcoming technology. Facebook’s
face tagging, object recognition are some of the applications that come under
image analysis. Both domains are a part of Artificial Intelligence but are much
independent of each other.
Now what if we could combine the
powers of these two to solve many more interesting problems. Let’s discuss some
real life problems that can be solved by these two techniques for better
understanding of their working extents:
APPLICATIONS
One of the most significant recent advances in health information systems has been the
shift from paper to electronic documents. Now as we are aware that medical
stuff involves much image components in form of x-rays scans, MRI scans, etc. accompanied
by a short text description that usually describes those captured images. Here
computer vision’s image acquisition & analysis could help better to capture all the necessary
components that might be missed by a human and after capturing all these
components they can be converted into human understandable language by NLP
technique.
Next application is Automatic
Image Caption Generation. Since social media is now a days bursting with
lots of images, how good will it be if the system automatically suggests a
great caption for your image as soon as you upload one. This application would
require immense image analysis ability and rich NLP data set to express most
suitable caption.
Another application where the duo can be used is in studying historical languages and symbols
that ancient people have left behind usually on the walls of monuments and
other rock structures. This would definitely require a very deep knowledge and
excellently trained NLP system. The computer vision part would help to achieve
the objective with much more ease in this case.
Another Important Application might be Prediction of Terrorist/Criminal Activity from socially posted images.
Since everyone is now under the claw of social media, often criminals and other
terrorist by mistake or intentionally leave clue or messages that might be used
to get alert from upcoming disaster. Hence there is a need to make our systems
intelligent by use of our combo of NLP and computer vision to predetermine some
of those terrorist attacks.
REFERENCES
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