Cognitivecam: A visual question answering application

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dc.contributor.authorKolluru S.K.en_US
dc.contributor.authorShrimal S.en_US
dc.contributor.authorKrishnaswamy S.en_US
dc.date.accessioned2025-02-17T06:17:22Z
dc.date.issued2017
dc.description.abstractCognitiveCam 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. � Springer Nature Singapore Pte Ltd. 2017.en_US
dc.identifier.citation1en_US
dc.identifier.urihttp://dx.doi.org/10.1007/978-981-10-6418-0_11
dc.identifier.urihttps://idr.iitbbs.ac.in/handle/2008/1542
dc.language.isoenen_US
dc.subjectComputer visionen_US
dc.subjectImage classificationen_US
dc.subjectNatural language classifieren_US
dc.subjectSpeech-to-text convertoren_US
dc.subjectText-to-speech convertoren_US
dc.subjectVisually impaireden_US
dc.titleCognitivecam: A visual question answering applicationen_US
dc.typeBook Chapteren_US

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