Searching Speech Keywords from Video

Video contains various types of data that can be extracted using various techniques and tools. The extracted data can be used in developing video retrieving and indexing systems. Video's speech is rich with information and can be used by students as a supporting tool in learning process. Video...

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Main Author: Daloull, Moustafa A. M.
Format: Thesis
Language:English
English
Published: 2010
Subjects:
Online Access:http://etd.uum.edu.my/2307/1/Moustafa_A._M._Daloull.pdf
http://etd.uum.edu.my/2307/2/1.Moustafa_A._M._Daloull.pdf
http://etd.uum.edu.my/2307/
http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000764797
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record_format eprints
spelling my.uum.etd.23072013-07-24T12:15:22Z http://etd.uum.edu.my/2307/ Searching Speech Keywords from Video Daloull, Moustafa A. M. QA76 Computer software Video contains various types of data that can be extracted using various techniques and tools. The extracted data can be used in developing video retrieving and indexing systems. Video's speech is rich with information and can be used by students as a supporting tool in learning process. Video is divided into many parts depending on their content. Searching for the part of interest may require manual searching through the entire video which may be time consuming. Therefore, this study focuses on investigating the existing approaches of searching and retrieving videos and to develop a method to make video content more easily searchable. A web-application prototype was developed using Java and JSP for searching the video speech using keywords. Finally, the users' satisfaction of the developed prototype was measured using IBM CSUQ questionnaire. 2010 Thesis NonPeerReviewed application/pdf en http://etd.uum.edu.my/2307/1/Moustafa_A._M._Daloull.pdf application/pdf en http://etd.uum.edu.my/2307/2/1.Moustafa_A._M._Daloull.pdf Daloull, Moustafa A. M. (2010) Searching Speech Keywords from Video. Masters thesis, Universiti Utara Malaysia. http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000764797
institution Universiti Utara Malaysia
building UUM Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Utara Malaysia
content_source UUM Electronic Theses
url_provider http://etd.uum.edu.my/
language English
English
topic QA76 Computer software
spellingShingle QA76 Computer software
Daloull, Moustafa A. M.
Searching Speech Keywords from Video
description Video contains various types of data that can be extracted using various techniques and tools. The extracted data can be used in developing video retrieving and indexing systems. Video's speech is rich with information and can be used by students as a supporting tool in learning process. Video is divided into many parts depending on their content. Searching for the part of interest may require manual searching through the entire video which may be time consuming. Therefore, this study focuses on investigating the existing approaches of searching and retrieving videos and to develop a method to make video content more easily searchable. A web-application prototype was developed using Java and JSP for searching the video speech using keywords. Finally, the users' satisfaction of the developed prototype was measured using IBM CSUQ questionnaire.
format Thesis
author Daloull, Moustafa A. M.
author_facet Daloull, Moustafa A. M.
author_sort Daloull, Moustafa A. M.
title Searching Speech Keywords from Video
title_short Searching Speech Keywords from Video
title_full Searching Speech Keywords from Video
title_fullStr Searching Speech Keywords from Video
title_full_unstemmed Searching Speech Keywords from Video
title_sort searching speech keywords from video
publishDate 2010
url http://etd.uum.edu.my/2307/1/Moustafa_A._M._Daloull.pdf
http://etd.uum.edu.my/2307/2/1.Moustafa_A._M._Daloull.pdf
http://etd.uum.edu.my/2307/
http://lintas.uum.edu.my:8080/elmu/index.jsp?module=webopac-l&action=fullDisplayRetriever.jsp&szMaterialNo=0000764797
_version_ 1644276652113395712
score 13.160551