Parallelization of sequential computer vision algorithms on big-data using distributed chunk-based framework /
Norhan Magdi Sayed Osman
Parallelization of sequential computer vision algorithms on big-data using distributed chunk-based framework / موازاة خوارزميات رؤية الحاسب المتسلسلة على البيانات الضخمة باستخدام إطار توزيع أجزاء البيانات Norhan Magdi Sayed Osman ; Supervised Hossam Aly Hassan Fahmy , Mohamed Mohamed Rehan - Cairo : Norhan Magdi Sayed Osman , 2018 - 94 P. : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication
In this thesis, we propose a complete framework that enables big-data frameworks to run sequential computer vision algorithms in a scalable and parallel way. Our idea is to divide the input video files into small chunks that can be processed in parallel without affecting the quality of the resulting output. We developed an intelligent data grouping that enables chunk-based framework to distribute these data chunks among the available resources and gather the results out of each chunk faster than the standalone sequential approach
Computer Vision Parallel Computing Video Processing
Parallelization of sequential computer vision algorithms on big-data using distributed chunk-based framework / موازاة خوارزميات رؤية الحاسب المتسلسلة على البيانات الضخمة باستخدام إطار توزيع أجزاء البيانات Norhan Magdi Sayed Osman ; Supervised Hossam Aly Hassan Fahmy , Mohamed Mohamed Rehan - Cairo : Norhan Magdi Sayed Osman , 2018 - 94 P. : charts ; 30cm
Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Electronics and Communication
In this thesis, we propose a complete framework that enables big-data frameworks to run sequential computer vision algorithms in a scalable and parallel way. Our idea is to divide the input video files into small chunks that can be processed in parallel without affecting the quality of the resulting output. We developed an intelligent data grouping that enables chunk-based framework to distribute these data chunks among the available resources and gather the results out of each chunk faster than the standalone sequential approach
Computer Vision Parallel Computing Video Processing