Audio-Visual-Based Query by Example Video Retrieval

Audio-Visual-Based Query by Example Video Retrieval

Query by example video retrieval aims at automatic retrieval of video samples which are similar to a user-provided example from video database. Considering that much of prior work on video analysis support retrieval using only visual features, in this paper, a two-step method for query by example is...

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Bibliographic Details
Main Authors: Sujuan Hou, Shangbo Zhou
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:Mathematical Problems in Engineering
Online Access:http://dx.doi.org/10.1155/2013/972438
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spelling doaj-8cee0c48eca042b6b8965c78acb141152020-11-24T20:46:00ZengHindawi LimitedMathematical Problems in Engineering1024-123X1563-51472013-01-01201310.1155/2013/972438972438Audio-Visual-Based Query by Example Video RetrievalSujuan Hou0Shangbo Zhou1College of Computer Science, Chongqing University, Chongqing 400030, ChinaCollege of Computer Science, Chongqing University, Chongqing 400030, ChinaQuery by example video retrieval aims at automatic retrieval of video samples which are similar to a user-provided example from video database. Considering that much of prior work on video analysis support retrieval using only visual features, in this paper, a two-step method for query by example is proposed, in which both audio and visual features are used. In the proposed method, a set of audio and visual features are, respectively, extracted from the shot level and key frame level. Among these features, audio features are employed to rough retrieval, while visual features are applied to refine retrieval. The experimental results demonstrate the good performance of the proposed approach.http://dx.doi.org/10.1155/2013/972438
collection DOAJ
language English
format Article
sources DOAJ
author Sujuan Hou
Shangbo Zhou
spellingShingle Sujuan Hou
Shangbo Zhou
Audio-Visual-Based Query by Example Video Retrieval
Mathematical Problems in Engineering
author_facet Sujuan Hou
Shangbo Zhou
author_sort Sujuan Hou
title Audio-Visual-Based Query by Example Video Retrieval
title_short Audio-Visual-Based Query by Example Video Retrieval
title_full Audio-Visual-Based Query by Example Video Retrieval
title_fullStr Audio-Visual-Based Query by Example Video Retrieval
title_full_unstemmed Audio-Visual-Based Query by Example Video Retrieval
title_sort audio-visual-based query by example video retrieval
publisher Hindawi Limited
series Mathematical Problems in Engineering
issn 1024-123X
1563-5147
publishDate 2013-01-01
description Query by example video retrieval aims at automatic retrieval of video samples which are similar to a user-provided example from video database. Considering that much of prior work on video analysis support retrieval using only visual features, in this paper, a two-step method for query by example is proposed, in which both audio and visual features are used. In the proposed method, a set of audio and visual features are, respectively, extracted from the shot level and key frame level. Among these features, audio features are employed to rough retrieval, while visual features are applied to refine retrieval. The experimental results demonstrate the good performance of the proposed approach.
url http://dx.doi.org/10.1155/2013/972438
work_keys_str_mv AT sujuanhou audiovisualbasedquerybyexamplevideoretrieval
AT shangbozhou audiovisualbasedquerybyexamplevideoretrieval
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