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Conference Paper: On Reducing the Size of Structured Meshes with a Novel Video Object Extraction Algorithm

TitleOn Reducing the Size of Structured Meshes with a Novel Video Object Extraction Algorithm
Authors
Issue Date2003
Citation
Canadian Conference On Electrical And Computer Engineering, 2003, v. 2, p. 1179-1182 How to Cite?
AbstractMesh-based motion analysis is a popular inter-frame video compression model. Compression with this model is further increased when the size of the mesh used to represent video frames is reduced. In this paper, a video object extraction algorithm that reduces the size of structured meshes is proposed It uses block-matching analysis to extract video objects (or dynamic contents) in video frames, and subsequently reduces the mesh size by removing the nodes that represent the video background (or motionless contents). In essence, only video objects are represented in the reduced mesh. During frame reconstruction, video objects are recovered from the affine transform, while the video background is mapped directly from the reference frame. Our study shows that the proposed algorithm can reduce on average 77.9% of the mesh nodes per frame for the Claire sequence (which has a motionless background). Also, the frame reconstruction quality is not affected as a result of using the proposed algorithm. Therefore, we claim that the proposed algorithm is effective in achieving high video compression.
Persistent Identifierhttp://hdl.handle.net/10722/158364
ISSN

 

DC FieldValueLanguage
dc.contributor.authorYu, Aen_US
dc.contributor.authorBadawy, Wen_US
dc.date.accessioned2012-08-08T08:59:15Z-
dc.date.available2012-08-08T08:59:15Z-
dc.date.issued2003en_US
dc.identifier.citationCanadian Conference On Electrical And Computer Engineering, 2003, v. 2, p. 1179-1182en_US
dc.identifier.issn0840-7789en_US
dc.identifier.urihttp://hdl.handle.net/10722/158364-
dc.description.abstractMesh-based motion analysis is a popular inter-frame video compression model. Compression with this model is further increased when the size of the mesh used to represent video frames is reduced. In this paper, a video object extraction algorithm that reduces the size of structured meshes is proposed It uses block-matching analysis to extract video objects (or dynamic contents) in video frames, and subsequently reduces the mesh size by removing the nodes that represent the video background (or motionless contents). In essence, only video objects are represented in the reduced mesh. During frame reconstruction, video objects are recovered from the affine transform, while the video background is mapped directly from the reference frame. Our study shows that the proposed algorithm can reduce on average 77.9% of the mesh nodes per frame for the Claire sequence (which has a motionless background). Also, the frame reconstruction quality is not affected as a result of using the proposed algorithm. Therefore, we claim that the proposed algorithm is effective in achieving high video compression.en_US
dc.languageengen_US
dc.relation.ispartofCanadian Conference on Electrical and Computer Engineeringen_US
dc.titleOn Reducing the Size of Structured Meshes with a Novel Video Object Extraction Algorithmen_US
dc.typeConference_Paperen_US
dc.description.naturelink_to_subscribed_fulltexten_US
dc.identifier.scopuseid_2-s2.0-0141428060en_US
dc.identifier.volume2en_US
dc.identifier.spage1179en_US
dc.identifier.epage1182en_US
dc.publisher.placeUnited Statesen_US

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