Cover Image

OpenCV Based Real-Time Video Processing Using Android Smartphone

as the smarphone industry grows rapidly, the smartphone application needs to be faster and consumes lower power because the smartphone is only powered by a battery. In this paper, two Android applications based on video processing method are introduced; one by using OpenCV library, the other one is...

Full description

Saved in:
Bibliographic Details
Main Author: Saipullah, Khairul Muzzammil
Format: Article
Language:English
Published: International Journal of Computer Technology and Electronics Engineering 2012
Subjects:
TA Engineering (General). Civil engineering (General)
Online Access:http://eprints.utem.edu.my/id/eprint/4102/1/IJCTEE_1111_10.pdf
http://eprints.utem.edu.my/id/eprint/4102/
http://www.ijctee.org/ISSUE3.html
Tags: Add Tag
No Tags, Be the first to tag this record!
id my.utem.eprints.4102
record_format eprints
spelling my.utem.eprints.41022021-12-28T16:37:43Z http://eprints.utem.edu.my/id/eprint/4102/ OpenCV Based Real-Time Video Processing Using Android Smartphone Saipullah, Khairul Muzzammil TA Engineering (General). Civil engineering (General) as the smarphone industry grows rapidly, the smartphone application needs to be faster and consumes lower power because the smartphone is only powered by a battery. In this paper, two Android applications based on video processing method are introduced; one by using OpenCV library, the other one is using Android library with self-implemented algorithm called CamTest. Eight image processing methods are applied to each frame of the video captured from the Android smartphone. The smartphone used in this study is the Samsung Galaxy S, with Android 2.3 Gingerbread Operating System. The efficiencies and power consumptions of the two applications are compared by observing their frame processing rate and power consumption. The experimental results show that out of the eight image processing methods, six methods that executed using OpenCV library are faster than that of CamTest with a total average ratio of 0.41. For the power consumption per frame test, six methods that executed using OpenCV library consume less power than that of CamTest with a total average ratio of 0.39. International Journal of Computer Technology and Electronics Engineering 2012-01-10 Article PeerReviewed text en http://eprints.utem.edu.my/id/eprint/4102/1/IJCTEE_1111_10.pdf Saipullah, Khairul Muzzammil (2012) OpenCV Based Real-Time Video Processing Using Android Smartphone. International Journal of Computer Technology and Electronics Engineering, 1 (3). pp. 1-6. ISSN ISSN 2249-6343 http://www.ijctee.org/ISSUE3.html
institution Universiti Teknikal Malaysia Melaka
building UTEM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Teknikal Malaysia Melaka
content_source UTEM Institutional Repository
url_provider http://eprints.utem.edu.my/
language English
topic TA Engineering (General). Civil engineering (General)
spellingShingle TA Engineering (General). Civil engineering (General)
Saipullah, Khairul Muzzammil
OpenCV Based Real-Time Video Processing Using Android Smartphone
description as the smarphone industry grows rapidly, the smartphone application needs to be faster and consumes lower power because the smartphone is only powered by a battery. In this paper, two Android applications based on video processing method are introduced; one by using OpenCV library, the other one is using Android library with self-implemented algorithm called CamTest. Eight image processing methods are applied to each frame of the video captured from the Android smartphone. The smartphone used in this study is the Samsung Galaxy S, with Android 2.3 Gingerbread Operating System. The efficiencies and power consumptions of the two applications are compared by observing their frame processing rate and power consumption. The experimental results show that out of the eight image processing methods, six methods that executed using OpenCV library are faster than that of CamTest with a total average ratio of 0.41. For the power consumption per frame test, six methods that executed using OpenCV library consume less power than that of CamTest with a total average ratio of 0.39.
format Article
author Saipullah, Khairul Muzzammil
author_facet Saipullah, Khairul Muzzammil
author_sort Saipullah, Khairul Muzzammil
title OpenCV Based Real-Time Video Processing Using Android Smartphone
title_short OpenCV Based Real-Time Video Processing Using Android Smartphone
title_full OpenCV Based Real-Time Video Processing Using Android Smartphone
title_fullStr OpenCV Based Real-Time Video Processing Using Android Smartphone
title_full_unstemmed OpenCV Based Real-Time Video Processing Using Android Smartphone
title_sort opencv based real-time video processing using android smartphone
publisher International Journal of Computer Technology and Electronics Engineering
publishDate 2012
url http://eprints.utem.edu.my/id/eprint/4102/1/IJCTEE_1111_10.pdf
http://eprints.utem.edu.my/id/eprint/4102/
http://www.ijctee.org/ISSUE3.html
_version_ 1720440248162320384
score 13.211869

Similar Items