A hybrid approach for image/video content representation and identification

In this paper, we present a framework for visual content representation (signature) along with a hierarchical filtering approach for similar content identification. For each original video to store in the database, we first extract its key frames. Next, we generate a hybrid signature of which consis...

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Main Authors: Chaisorn, Lekha, Fu, Zixiang
Other Authors: School of Computer Engineering
Format: Conference or Workshop Item
Language:English
Published: 2013
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Online Access:https://hdl.handle.net/10356/98931
http://hdl.handle.net/10220/12727
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-989312020-05-28T07:17:54Z A hybrid approach for image/video content representation and identification Chaisorn, Lekha Fu, Zixiang School of Computer Engineering IEEE Conference on Industrial Electronics and Applications (7th : 2012 : Singapore) DRNTU::Engineering::Computer science and engineering In this paper, we present a framework for visual content representation (signature) along with a hierarchical filtering approach for similar content identification. For each original video to store in the database, we first extract its key frames. Next, we generate a hybrid signature of which consists of a base signature; a filtering index; and SURF descriptors. Given a suspect video, its hybrid signature is created in the similar way. The hierarchical filtering approach is then applied to match the suspect video and the relevant videos in the database based on the videos' filtering index and the base signatures. However, if the process do not find a match, the query video is suspected to fall into more complicated cases such as picture-in-picture and cropped video. To tackle such cases, SURF descriptors, are then used to match. With our hierarchical filtering approach, the computation during video matching process can be reduced. We tested our system on the dataset from TRECVid 2006, and it is demonstrated that our hierarchical filtering system along with the hybrid signature framework is very effective and helps improve the overall system performance as compared to the earlier works. 2013-08-01T02:56:35Z 2019-12-06T20:01:15Z 2013-08-01T02:56:35Z 2019-12-06T20:01:15Z 2011 2011 Conference Paper https://hdl.handle.net/10356/98931 http://hdl.handle.net/10220/12727 10.1109/ICIEA.2012.6360863 en
institution Nanyang Technological University
building NTU Library
country Singapore
collection DR-NTU
language English
topic DRNTU::Engineering::Computer science and engineering
spellingShingle DRNTU::Engineering::Computer science and engineering
Chaisorn, Lekha
Fu, Zixiang
A hybrid approach for image/video content representation and identification
description In this paper, we present a framework for visual content representation (signature) along with a hierarchical filtering approach for similar content identification. For each original video to store in the database, we first extract its key frames. Next, we generate a hybrid signature of which consists of a base signature; a filtering index; and SURF descriptors. Given a suspect video, its hybrid signature is created in the similar way. The hierarchical filtering approach is then applied to match the suspect video and the relevant videos in the database based on the videos' filtering index and the base signatures. However, if the process do not find a match, the query video is suspected to fall into more complicated cases such as picture-in-picture and cropped video. To tackle such cases, SURF descriptors, are then used to match. With our hierarchical filtering approach, the computation during video matching process can be reduced. We tested our system on the dataset from TRECVid 2006, and it is demonstrated that our hierarchical filtering system along with the hybrid signature framework is very effective and helps improve the overall system performance as compared to the earlier works.
author2 School of Computer Engineering
author_facet School of Computer Engineering
Chaisorn, Lekha
Fu, Zixiang
format Conference or Workshop Item
author Chaisorn, Lekha
Fu, Zixiang
author_sort Chaisorn, Lekha
title A hybrid approach for image/video content representation and identification
title_short A hybrid approach for image/video content representation and identification
title_full A hybrid approach for image/video content representation and identification
title_fullStr A hybrid approach for image/video content representation and identification
title_full_unstemmed A hybrid approach for image/video content representation and identification
title_sort hybrid approach for image/video content representation and identification
publishDate 2013
url https://hdl.handle.net/10356/98931
http://hdl.handle.net/10220/12727
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