| 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 |