A Multi-type Index CBVR System Constructed with MPEG-7 Visual Features
碩士 === 雲林科技大學 === 資訊工程研究所 === 98 === Since multimedia has played an important role in our daily life, multimedia mining becomes a popular research area. Among the emerging research topics of multimedia mining, content-based video retrieval is a challenging one which attracts researchers’ attention....
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ndltd-TW-098YUNT53920122015-10-13T18:58:57Z http://ndltd.ncl.edu.tw/handle/73502283356909726121 A Multi-type Index CBVR System Constructed with MPEG-7 Visual Features 以MPEG-7視覺特徵建構之多類型索引CBVR系統 He-wen Chen 陳鶴文 碩士 雲林科技大學 資訊工程研究所 98 Since multimedia has played an important role in our daily life, multimedia mining becomes a popular research area. Among the emerging research topics of multimedia mining, content-based video retrieval is a challenging one which attracts researchers’ attention. Here, we make an attempt to retrieve the requested video contents from a long-length video. We issue one semantic query clip extracted from a source video, and try to retrieve the requested video contents of this source video. In this thesis, we proposed a novel scheme to facilitate indexing and/or querying long-length videos. For indexing source videos, we construct and integrate two index structures: B+-tree and BitMatrix. Thus, we can easily locate candidates from the index structures and perform sequence matching to retrieve the requested video contents. They could be the video contents exactly matched with or similar to the query clip. Finally, the experimental results show that the proposed scheme can retrieve the requested video contents in an effective way. Yin-fu Huang 黃胤傅 2010 學位論文 ; thesis 44 en_US |
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碩士 === 雲林科技大學 === 資訊工程研究所 === 98 === Since multimedia has played an important role in our daily life, multimedia mining becomes a popular research area. Among the emerging research topics of multimedia mining, content-based video retrieval is a challenging one which attracts researchers’ attention. Here, we make an attempt to retrieve the requested video contents from a long-length video. We issue one semantic query clip extracted from a source video, and try to retrieve the requested video contents of this source video. In this thesis, we proposed a novel scheme to facilitate indexing and/or querying long-length videos. For indexing source videos, we construct and integrate two index structures: B+-tree and BitMatrix. Thus, we can easily locate candidates from the index structures and perform sequence matching to retrieve the requested video contents. They could be the video contents exactly matched with or similar to the query clip. Finally, the experimental results show that the proposed scheme can retrieve the requested video contents in an effective way.
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Yin-fu Huang |
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Yin-fu Huang He-wen Chen 陳鶴文 |
author |
He-wen Chen 陳鶴文 |
spellingShingle |
He-wen Chen 陳鶴文 A Multi-type Index CBVR System Constructed with MPEG-7 Visual Features |
author_sort |
He-wen Chen |
title |
A Multi-type Index CBVR System Constructed with MPEG-7 Visual Features |
title_short |
A Multi-type Index CBVR System Constructed with MPEG-7 Visual Features |
title_full |
A Multi-type Index CBVR System Constructed with MPEG-7 Visual Features |
title_fullStr |
A Multi-type Index CBVR System Constructed with MPEG-7 Visual Features |
title_full_unstemmed |
A Multi-type Index CBVR System Constructed with MPEG-7 Visual Features |
title_sort |
multi-type index cbvr system constructed with mpeg-7 visual features |
publishDate |
2010 |
url |
http://ndltd.ncl.edu.tw/handle/73502283356909726121 |
work_keys_str_mv |
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