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Key Word Spotting based Video Retrieval System using Urdu Text as Index

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dc.contributor.author Muhammad Numair, 01-134131-060
dc.contributor.author Irfan Latif, 01-1341931-036
dc.date.accessioned 2017-05-11T06:38:29Z
dc.date.available 2017-05-11T06:38:29Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/563
dc.description Supervised by Mr. Ghulam Ali Mirza en_US
dc.description.abstract In Pakistan, most of the news channels display news in news bar in Urdu language. They are displayed in multiple bars on the screen which makes it difficult for viewers to read multiple news bars and watch the video along with it. So our project will help people to search news videos displayed on TV screens by Urdu word image matching and retrieval of frames.It can also works for those people who were interested in searching for previous records. So, this paper presents an approach for video searching from archives and automated video indexing. It will be done by matching the Urdu word image in news bar by taking Urdu word image as input and providing the video displayed along with that news in news bar as output. This will be done by Key word spotting and videos will be retrieved using Urdu image as index. By taking Urdu word image as input, matching video frames will be retrieved then their video will be retrieved which was played with that particular news frame. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-5750
dc.subject Computer Sciences. en_US
dc.title Key Word Spotting based Video Retrieval System using Urdu Text as Index en_US
dc.type Project Reports en_US


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