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2017 | OriginalPaper | Chapter

CognitiveCam: A Visual Question Answering Application

Authors : S. K. Kolluru, Shreyans Shrimal, Sudharsan Krishnaswamy

Published in: Applications of Cognitive Computing Systems and IBM Watson

Publisher: Springer Singapore

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Abstract

CognitiveCam is a Visual Question Answering application designed for helping the visually impaired. A user can ask any question pointing towards the object, the app will then attempt to provide the relevant answer. Visual Question Answering is a hot-research area and CognitiveCam is an attempt to put the current state-of-the-art research to practise using the IBM Watson Bluemix APIs. The application is successful enough to identify everyday objects, read text and identify age and gender of a human. The application uses Visual Recognition, Natural Language Classifier, Text to Speech convertor and Speech to Text convertor of the Watson APIs.

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Literature
1.
E. Brady et al., Visual challenges in the everyday lives of blind people, in Proceedings of the SIGCHI Conference on Human Factors in Computing Systems (ACM, 2013)
2.
S. Antol et al., Vqa: visual question answering, in Proceedings of the IEEE International Conference on Computer Vision (2015)
3.
J. Andreas et al. Neural module networks, in Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (2016)
Metadata
Title
CognitiveCam: A Visual Question Answering Application
Authors
S. K. Kolluru
Shreyans Shrimal
Sudharsan Krishnaswamy
Copyright Year
2017
Publisher
Springer Singapore
Book
Applications of Cognitive Computing Systems and IBM Watson

Print ISBN: 978-981-10-6417-3

Electronic ISBN: 978-981-10-6418-0

Copyright Year: 2017

DOI
https://doi.org/10.1007/978-981-10-6418-0_11