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Speedup image spatio temporal feature extraction using GPGPU / (Record no. 70486)

MARC details
000 -LEADER
fixed length control field	02176cam a2200337 a 4500
003 - CONTROL NUMBER IDENTIFIER
control field	EG-GiCUC
005 - DATE AND TIME OF LATEST TRANSACTION
control field	20250223032216.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field	190225s2018 ua dh f m 000 0 eng d
040 ## - CATALOGING SOURCE
Original cataloging agency	EG-GiCUC
Language of cataloging	eng
Transcribing agency	EG-GiCUC
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title	eng
049 ## - LOCAL HOLDINGS (OCLC)
Holding library	Deposite
097 ## - Thesis Degree
Thesis Level	M.Sc
099 ## - LOCAL FREE-TEXT CALL NUMBER (OCLC)
Classification number	Cai01.13.06.M.Sc.2018.Ah.S
100 0# - MAIN ENTRY--PERSONAL NAME
Personal name	Ahmed Mahmoud Ahmed Mehrez
245 10 - TITLE STATEMENT
Title	Speedup image spatio temporal feature extraction using GPGPU /
Statement of responsibility, etc.	Ahmed Mahmoud Ahmed Mehrez ; Supervised Elsayed E. Hemayed , Ahmed Abdelfattah Morgan
246 15 - VARYING FORM OF TITLE
Title proper/short title	تحسين سرعة استخراج الخواص الزمانية المكانية للصور باستخدام وحدة المعالجات الرسومية
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc.	Cairo :
Name of publisher, distributor, etc.	Ahmed Mahmoud Ahmed Mehrez ,
Date of publication, distribution, etc.	2018
300 ## - PHYSICAL DESCRIPTION
Extent	81 P. :
Other physical details	charts , facsimiles ;
Dimensions	30cm
502 ## - DISSERTATION NOTE
Dissertation note	Thesis (M.Sc.) - Cairo University - Faculty of Engineering - Department of Computer Engineering
520 ## - SUMMARY, ETC.
Summary, etc.	The robust representation of image features becomes fundamental to most machine vision and image registration applications. Spatio-temporal feature extraction algorithms are favored because of their robust generated features. However, they have high computational complexity. In this thesis, we propose new parallel implementations, using GPU computing, for the two most widely used Spatio-temporal feature extraction algorithms: Scale-Invariant Feature Transform (SIFT) and Speeded-Up Robust Feature (SURF). In our implementations, we solve problems with previous parallel implementations, such as load imbalance, thread synchronization, and the use of atomic operations. We compare our presented implementations to previous CPU and GPU parallel implementations of the two algorithms. Results used in Human action recognition and achieve accuracy 96% for SIFT and 94.5% for SURF
530 ## - ADDITIONAL PHYSICAL FORM AVAILABLE NOTE
Additional physical form available note	Issued also as CD
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term	GPU
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term	Image features
653 #4 - INDEX TERM--UNCONTROLLED
Uncontrolled term	Parallel processing
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Ahmed Abdelfattah Morgan ,
Relator term
700 0# - ADDED ENTRY--PERSONAL NAME
Personal name	Elsayed Eisa Hemayed ,
Relator term
856 ## - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier	<a href="http://172.23.153.220/th.pdf">http://172.23.153.220/th.pdf</a>
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger	Nazla
Reviser	Revisor
905 ## - LOCAL DATA ELEMENT E, LDE (RLIN)
Cataloger	Samia
Reviser	Cataloger
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme	Dewey Decimal Classification
Koha item type	Thesis

Holdings
Source of classification or shelving scheme	Not for loan	Home library	Current library	Date acquired	Full call number	Barcode	Date last seen	Koha item type	Copy number
Dewey Decimal Classification		المكتبة المركزبة الجديدة - جامعة القاهرة	قاعة الرسائل الجامعية - الدور الاول	11.02.2024	Cai01.13.06.M.Sc.2018.Ah.S	01010110077268000	22.09.2023	Thesis
Dewey Decimal Classification		المكتبة المركزبة الجديدة - جامعة القاهرة	مخـــزن الرســائل الجـــامعية - البدروم	11.02.2024	Cai01.13.06.M.Sc.2018.Ah.S	01020110077268000	22.09.2023	CD - Rom	77268.CD