PARALLELIZATION OF SEQUENTIAL COMPUTER VISION ALGORITHMS ON BIG-DATA USING DISTRIBUTED CHUNK-BASED FRAMEWORK

Norhan Magdi Sayed Osman;

Abstract


Inthisthesis,weproposeacompleteframeworkthatenablesbig-dataframe- workstorunsequentialcomputervisionalgorithmsinascalableandparallel way. Our idea is to divide the input video files into small chunks that can be processedinparallelwithoutaffectingthequalityoftheresultingoutput.We developed an intelligent data grouping that enables chunk-based framework todistributedatachunksamongtheavailableresourcesandgathertheresults out of each chunk faster than the standalone sequentialapproach.


Other data

Title PARALLELIZATION OF SEQUENTIAL COMPUTER VISION ALGORITHMS ON BIG-DATA USING DISTRIBUTED CHUNK-BASED FRAMEWORK
Other Titles موازاة خوارزميات رؤية الحاسب المتسلسلة على البيانات الضخمة باستخدام إطار توزيع أجزاء البيانات
Authors Norhan Magdi Sayed Osman
Issue Date 2018

Attached Files

File SizeFormat
V5456.pdf264.02 kBAdobe PDFView/Open
Recommend this item

Similar Items from Core Recommender Database

Google ScholarTM

Check

views 3 in Shams Scholar
downloads 2 in Shams Scholar


Items in Ain Shams Scholar are protected by copyright, with all rights reserved, unless otherwise indicated.