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Detection and Extraction of Breaking News from Videos

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dc.contributor.author Tariq Aziz Khan, 01-134141-127
dc.contributor.author Danish Hayat, 01-134141-028
dc.date.accessioned 2018-05-11T05:17:37Z
dc.date.available 2018-05-11T05:17:37Z
dc.date.issued 2017
dc.identifier.uri http://hdl.handle.net/123456789/6265
dc.description Supervised by Mr. Ali Mirza en_US
dc.description.abstract Advancements in digital multimedia content especially, data storage and image acquisition technologies have empowered the creation of the large image datasets. In this context, it is mandatory to design and develop a fully automated information system which can effectively deal with these accumulations. A Content Based Image Retrieval system, which call retrieve images like a user-defined specification or pattern, a possibility of automated image retrieval process. i Our project refers to the retrieved of frames from videos based on textual content. Letter, detection and extraction of textual area::; ill the frame fur the pre-processing purposes. End product will be able to perform video processing for the extraction of key frames, and then processing key frames for the detection and the extraction of textual area:::; in the frames. Furthermore, system will be able to tell that whether there is a breaking news inside a frame or not by performing the text recognition by Word Spotting based on the extracted textual features. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-6398
dc.subject Computer Sciences. en_US
dc.title Detection and Extraction of Breaking News from Videos en_US
dc.type Project Reports en_US


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