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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Main Authors: LI Yuan-ning1, LIU Ting1, JIANG Shu-qiang1, HUANG Qing-ming1
Format: Article
Language:zho
Published: Editorial Department of Journal on Communications 2007-01-01
Series:Tongxin xuebao
Subjects:
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