Scalable part image search / Ahmed Khattab ; Supervised Adrian Ulges , Christian Schulze
Material type:
Item type | Current library | Home library | Call number | Status | Barcode | |
---|---|---|---|---|---|---|
![]() |
قاعة الثقاقات الاجنبية - الدور الثالث | المكتبة المركزبة الجديدة - جامعة القاهرة | Cai01.34.M.Sc.2012.Ah.S (Browse shelf(Opens below)) | Not for loan | 01010110063585000 |
Browsing المكتبة المركزبة الجديدة - جامعة القاهرة shelves Close shelf browser (Hides shelf browser)
اهداء من مكتبة كمال المنوفى
Thesis (M.Sc.) - German University - Faculty of Postgraduate Studies and Scientific Research - Department of Computer Science and Engineering
Information captured by images is becoming of an increasing importance in numerous application fields. Hence, comes the role of image retrieval systems in order to make use of image collections to serve applications needs. This thesis addresses the problem of providing a scalable and an efficient method for image retrieval. The system described in this thesis focuses on content based image retrieval
There are no comments on this title.