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Texture Content Based Video Indexing and Retrieval using English Captions

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dc.contributor.author Rana Usman Hamid, 01-134131-075
dc.contributor.author Rashid Hussain, 01-134131-077
dc.date.accessioned 2017-05-11T08:57:38Z
dc.date.available 2017-05-11T08:57:38Z
dc.date.issued 2016
dc.identifier.uri http://hdl.handle.net/123456789/598
dc.description supervised by Mr. Ali Mirza en_US
dc.description.abstract The project Content Based Video Retrieval (CBVR) developed to index the video that have English captions, it contain different modules for indexing the video that are text detection,text extraction and text classification, text detection system that is based on a combination of unsupervised and supervised techniques. The unsupervised technique is based on the image analysis techniques which determines the contrast, alignment of the text followed by geometrical properties of text and identify the text area in an image. Text areas are then validated by Support Vector Machine (SVM) using a combinations of features computed from Gray Level Co-occurrence Matrices (GLCM). After validation potential text area feed to the Optical Character Recognition (OCR). According to text returned by OCR frames are indexed to the database. Once the video is indexed user can query the database corresponding to that query frame will pop-up which matches the query, from that frames user can start playing the video. en_US
dc.language.iso en en_US
dc.publisher Bahria University Islamabad Campus en_US
dc.relation.ispartofseries BS (CS);P-5740
dc.subject Computer Sciences. en_US
dc.title Texture Content Based Video Indexing and Retrieval using English Captions en_US
dc.type Project Reports en_US


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