Video Retrieval using Content Based Approach
Information retrieval systems are living a significant position in our daily life for getting the necessary information. Many text retrieval systems are accessible and are functioning effectively. Even though internet is complete with media like images, audio and video, retrieval systems for these...
Saved in:
Main Author: | |
---|---|
Format: | Thesis |
Language: | eng eng |
Published: |
2010
|
Subjects: | |
Online Access: | https://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf https://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
my-uum-etd.2205 |
---|---|
record_format |
uketd_dc |
spelling |
my-uum-etd.22052013-07-24T12:14:53Z Video Retrieval using Content Based Approach 2010-04 Al-Shaikh, Mu'ath Ziad Najib Mohamed Din, Aniza College of Arts and Sciences (CAS) College of Arts and Sciences TA Engineering (General). Civil engineering (General) Information retrieval systems are living a significant position in our daily life for getting the necessary information. Many text retrieval systems are accessible and are functioning effectively. Even though internet is complete with media like images, audio and video, retrieval systems for these media are unusual and have not achieved sensation as that of text retrieval systems. Video retrieval systems are helpful in many applications. There is a high request for useful and capable tool for video association and retrieval based on each user's requirement. Videos are divided into set of frames(images) then they are classified into content based image retrieval. We are developing a content based video retrieval system, which makes use of ontology to make the retrieval process intelligent. 2010-04 Thesis https://etd.uum.edu.my/2205/ https://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf application/pdf eng validuser https://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf application/pdf eng public http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000757657 masters masters Universiti Utara Malaysia |
institution |
Universiti Utara Malaysia |
collection |
UUM ETD |
language |
eng eng |
advisor |
Mohamed Din, Aniza |
topic |
TA Engineering (General) Civil engineering (General) |
spellingShingle |
TA Engineering (General) Civil engineering (General) Al-Shaikh, Mu'ath Ziad Najib Video Retrieval using Content Based Approach |
description |
Information retrieval systems are living a significant position in our daily life for getting the necessary information. Many text retrieval systems are accessible
and are functioning effectively. Even though internet is complete with media like images, audio and video, retrieval systems for these media are unusual and have not achieved sensation as that of text retrieval systems. Video retrieval
systems are helpful in many applications. There is a high request for useful and capable tool for video association and retrieval based on each user's requirement. Videos are divided into set of frames(images) then they are classified into content based image retrieval. We are developing a content based video retrieval system, which makes use of ontology to make the retrieval process intelligent. |
format |
Thesis |
qualification_name |
masters |
qualification_level |
Master's degree |
author |
Al-Shaikh, Mu'ath Ziad Najib |
author_facet |
Al-Shaikh, Mu'ath Ziad Najib |
author_sort |
Al-Shaikh, Mu'ath Ziad Najib |
title |
Video Retrieval using Content Based Approach |
title_short |
Video Retrieval using Content Based Approach |
title_full |
Video Retrieval using Content Based Approach |
title_fullStr |
Video Retrieval using Content Based Approach |
title_full_unstemmed |
Video Retrieval using Content Based Approach |
title_sort |
video retrieval using content based approach |
granting_institution |
Universiti Utara Malaysia |
granting_department |
College of Arts and Sciences (CAS) |
publishDate |
2010 |
url |
https://etd.uum.edu.my/2205/1/Mu%27ath_Ziad_Najib_Al-Shaikh.pdf https://etd.uum.edu.my/2205/2/1.Mu%27ath_Ziad_Najib_Al-Shaikh.pdf |
_version_ |
1747827289875283968 |