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PICWORDS: AN AUTOMATIC IMAGE RENDERING APPROACH BY PACKING KEYWORDS

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dc.contributor.author Nisa, Nuzhat Reg # 36595
dc.contributor.author Afzal, Rida Reg # 36600
dc.contributor.author Afzal, Zarmeen Reg # 36549
dc.contributor.author Humayioun, Adiya Reg # 36627
dc.contributor.author Saleem, Rabab Reg # 36779
dc.date.accessioned 2020-12-12T00:59:57Z
dc.date.available 2020-12-12T00:59:57Z
dc.date.issued 2018
dc.identifier.uri http://hdl.handle.net/123456789/10445
dc.description Supervised by Saba Akhtar en_US
dc.description.abstract The Pic Word is a kind of latter word art rule is proposed, among who inputs are image and the key phrases as introduce incomplete facts in regard to the enter picture, and the yield about it system is aggregate about enter picture then enter keywords. In ancient days this content material practical have been made by means of terribly proficient experts and this was as well as substantial measure of manual work, thus this framework isn't quite a similar as this typical work. The proposed dictation is Automatic belief Warping System. It is kind regarding computerized non photorealistic rendering (NPR) pack system. In that technique enters image is vindicated among twins parts, one is major section then another is history part. The major section is beneficial share then background portion is not useful part. The keyword desire lie packed within main portion then history piece intention keeps ignored. Then the fundamental portion desire stand segmented within quantity on patches, each patch desire action as like basket for one keyword. The extra important keywords are put of vast picture someplace because that we job key phrases as well so patches. Then key phrases or anywhere warping are made including the assist over mean charge coordinates method. Lastly, the put up technology strategies are aged after improve usefulness regarding picture en_US
dc.language.iso en_US en_US
dc.publisher Bahria University Karachi Campus en_US
dc.relation.ispartofseries BS CS;MFN BSCS 110
dc.title PICWORDS: AN AUTOMATIC IMAGE RENDERING APPROACH BY PACKING KEYWORDS en_US
dc.type Thesis en_US


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