Ontology building for concept indexing on multimedia information retrieval system

With the rising trend of distance education and open source concept, multime- dia lecture video has become increasingly popular for self-learning and knowl- edge sharing with large demand of source. However, huge amount of video sources with broad range of topics make it difficult for users to acces...

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Main Author: Liu, Xiao
Other Authors: Chng Eng Siong
Format: Final Year Project
Language:English
Published: 2015
Subjects:
Online Access:http://hdl.handle.net/10356/62826
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-628262023-03-03T20:42:19Z Ontology building for concept indexing on multimedia information retrieval system Liu, Xiao Chng Eng Siong School of Computer Engineering Emerging Research Lab DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing With the rising trend of distance education and open source concept, multime- dia lecture video has become increasingly popular for self-learning and knowl- edge sharing with large demand of source. However, huge amount of video sources with broad range of topics make it difficult for users to access the par- ticular lecture video or the specific position of a lecture video that meets his/her requirement. Therefore, a system enabling users to browse lecture videos, search and retrieve required information of their interest is critical and necessary. In this project, we build a system with model-view-controller framework architec- ture. With this structure design, the system is able to add new scenario func- tions, change interface view format or design easily and flexibly, which means a system with high modifiability, reusability and maintainability. To make the indexing more domain-oriented with less ambiguity and provide more high-level structural knowledge representation of a collection domain, after realizing in- dexing on keywords, we also experiment to build a concept tree for one collec- tion of videos under the same topic, containing summarized essential concepts in the lecture contents to allow users to index based on concepts rather than only indexing on the exact words. Bachelor of Engineering (Computer Science) 2015-04-29T08:19:07Z 2015-04-29T08:19:07Z 2015 2015 Final Year Project (FYP) http://hdl.handle.net/10356/62826 en Nanyang Technological University 61 p. application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
spellingShingle DRNTU::Engineering::Computer science and engineering::Computing methodologies::Document and text processing
Liu, Xiao
Ontology building for concept indexing on multimedia information retrieval system
description With the rising trend of distance education and open source concept, multime- dia lecture video has become increasingly popular for self-learning and knowl- edge sharing with large demand of source. However, huge amount of video sources with broad range of topics make it difficult for users to access the par- ticular lecture video or the specific position of a lecture video that meets his/her requirement. Therefore, a system enabling users to browse lecture videos, search and retrieve required information of their interest is critical and necessary. In this project, we build a system with model-view-controller framework architec- ture. With this structure design, the system is able to add new scenario func- tions, change interface view format or design easily and flexibly, which means a system with high modifiability, reusability and maintainability. To make the indexing more domain-oriented with less ambiguity and provide more high-level structural knowledge representation of a collection domain, after realizing in- dexing on keywords, we also experiment to build a concept tree for one collec- tion of videos under the same topic, containing summarized essential concepts in the lecture contents to allow users to index based on concepts rather than only indexing on the exact words.
author2 Chng Eng Siong
author_facet Chng Eng Siong
Liu, Xiao
format Final Year Project
author Liu, Xiao
author_sort Liu, Xiao
title Ontology building for concept indexing on multimedia information retrieval system
title_short Ontology building for concept indexing on multimedia information retrieval system
title_full Ontology building for concept indexing on multimedia information retrieval system
title_fullStr Ontology building for concept indexing on multimedia information retrieval system
title_full_unstemmed Ontology building for concept indexing on multimedia information retrieval system
title_sort ontology building for concept indexing on multimedia information retrieval system
publishDate 2015
url http://hdl.handle.net/10356/62826
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