Video matching method based on "bag of words"
A "bag of words" was presented based method for video representation and matching.First,all local features of all video frames were quantized into a dictionary of visual words.Then each sub-shot of the video was represented by a set of visual words.Finally,a revered index of visual words w...
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Format: | Article |
Language: | zho |
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Editorial Department of Journal on Communications
2007-01-01
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Series: | Tongxin xuebao |
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Online Access: | http://www.joconline.com.cn/zh/article/74658540/ |
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author | LI Yuan-ning1 LIU Ting1 JIANG Shu-qiang1 HUANG Qing-ming1 |
author_facet | LI Yuan-ning1 LIU Ting1 JIANG Shu-qiang1 HUANG Qing-ming1 |
author_sort | LI Yuan-ning1 |
collection | DOAJ |
description | A "bag of words" was presented based method for video representation and matching.First,all local features of all video frames were quantized into a dictionary of visual words.Then each sub-shot of the video was represented by a set of visual words.Finally,a revered index of visual words was created to speed the matching process of video clips.This method not only takes local appearance and spatial information into account,but also compresses the representation of video content.Highly competitive experimental results show that our proposed method is more effective and efficient than former methods for video matching in large video dataset. |
format | Article |
id | doaj-art-421ed794a4184119b7b1fccbe1ed679c |
institution | Kabale University |
issn | 1000-436X |
language | zho |
publishDate | 2007-01-01 |
publisher | Editorial Department of Journal on Communications |
record_format | Article |
series | Tongxin xuebao |
spelling | doaj-art-421ed794a4184119b7b1fccbe1ed679c2025-01-14T08:35:21ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2007-01-0114715174658540Video matching method based on "bag of words"LI Yuan-ning1LIU Ting1JIANG Shu-qiang1HUANG Qing-ming1A "bag of words" was presented based method for video representation and matching.First,all local features of all video frames were quantized into a dictionary of visual words.Then each sub-shot of the video was represented by a set of visual words.Finally,a revered index of visual words was created to speed the matching process of video clips.This method not only takes local appearance and spatial information into account,but also compresses the representation of video content.Highly competitive experimental results show that our proposed method is more effective and efficient than former methods for video matching in large video dataset.http://www.joconline.com.cn/zh/article/74658540/video matchingvisual wordbag of wordsreverted index |
spellingShingle | LI Yuan-ning1 LIU Ting1 JIANG Shu-qiang1 HUANG Qing-ming1 Video matching method based on "bag of words" Tongxin xuebao video matching visual word bag of words reverted index |
title | Video matching method based on "bag of words" |
title_full | Video matching method based on "bag of words" |
title_fullStr | Video matching method based on "bag of words" |
title_full_unstemmed | Video matching method based on "bag of words" |
title_short | Video matching method based on "bag of words" |
title_sort | video matching method based on bag of words |
topic | video matching visual word bag of words reverted index |
url | http://www.joconline.com.cn/zh/article/74658540/ |
work_keys_str_mv | AT liyuanning1 videomatchingmethodbasedonbagofwords AT liuting1 videomatchingmethodbasedonbagofwords AT jiangshuqiang1 videomatchingmethodbasedonbagofwords AT huangqingming1 videomatchingmethodbasedonbagofwords |