Broadcast news navigation

With the rapid development in technology, digital news video has become increasingly popular due to the convenience it can bring to the viewer. However, the linear structure of the video often poses difficulty for the viewer in accessing particular news that is of his/her interest. To make the news...

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Main Author: Xu, Shiyang
Other Authors: Chng Eng Siong
Format: Final Year Project
Language:English
Published: 2014
Subjects:
Online Access:http://hdl.handle.net/10356/59017
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-590172023-03-03T20:31:52Z Broadcast news navigation Xu, Shiyang Chng Eng Siong School of Computer Engineering Emerging Research Lab DRNTU::Engineering::Computer science and engineering::Software With the rapid development in technology, digital news video has become increasingly popular due to the convenience it can bring to the viewer. However, the linear structure of the video often poses difficulty for the viewer in accessing particular news that is of his/her interest. To make the news video more accessible, one possible way is to segment the video into small parts that are classified by their individual genres. However, manual segmentation is costly, thus automatic news segmentation is highly desirable. Current automatic news segmentation methods cover two major areas: topic boundary and topic detection. These techniques rely on common features mainly visual, audio and texts. However, some of the methods such as LDA are not suitable for broadcast news as the amount of texts is too little for topic detection. In this thesis, we experiment with a hybrid-based method, which is suitable for broadcast news video. This approach uses shot change detection, speaker change detection and natural language processing such as noun phrase extraction to generate a well-defined topic boundary. To materialize these concepts, a web based broadcast news navigation (BNN) is used. BNN provides web based retrieval tools from the multimedia database which support user searching. As part of the testing phase, our experiment results indicate that the segmentation technique outperforms other state-of-art techniques while using the hybrid-based method. Bachelor of Engineering (Computer Science) 2014-04-21T05:12:50Z 2014-04-21T05:12:50Z 2014 2014 Final Year Project (FYP) http://hdl.handle.net/10356/59017 en Nanyang Technological University 77 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::Software
spellingShingle DRNTU::Engineering::Computer science and engineering::Software
Xu, Shiyang
Broadcast news navigation
description With the rapid development in technology, digital news video has become increasingly popular due to the convenience it can bring to the viewer. However, the linear structure of the video often poses difficulty for the viewer in accessing particular news that is of his/her interest. To make the news video more accessible, one possible way is to segment the video into small parts that are classified by their individual genres. However, manual segmentation is costly, thus automatic news segmentation is highly desirable. Current automatic news segmentation methods cover two major areas: topic boundary and topic detection. These techniques rely on common features mainly visual, audio and texts. However, some of the methods such as LDA are not suitable for broadcast news as the amount of texts is too little for topic detection. In this thesis, we experiment with a hybrid-based method, which is suitable for broadcast news video. This approach uses shot change detection, speaker change detection and natural language processing such as noun phrase extraction to generate a well-defined topic boundary. To materialize these concepts, a web based broadcast news navigation (BNN) is used. BNN provides web based retrieval tools from the multimedia database which support user searching. As part of the testing phase, our experiment results indicate that the segmentation technique outperforms other state-of-art techniques while using the hybrid-based method.
author2 Chng Eng Siong
author_facet Chng Eng Siong
Xu, Shiyang
format Final Year Project
author Xu, Shiyang
author_sort Xu, Shiyang
title Broadcast news navigation
title_short Broadcast news navigation
title_full Broadcast news navigation
title_fullStr Broadcast news navigation
title_full_unstemmed Broadcast news navigation
title_sort broadcast news navigation
publishDate 2014
url http://hdl.handle.net/10356/59017
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