Please use this identifier to cite or link to this item: http://hdl.handle.net/2440/43617
Type: Conference paper
Title: Camera motion estimation for object-based video coding
Author: Liu, Yunhai
Thormaehlen, Thorsten
Broszio, Hellward
Citation: Recent trends in multimedia information processing : proceedings of the 9th International Workshop on Systems, Signals and Image Processing : Manchester Town Hall, UK, 7-8 November 2002 / Panos Liatsis (ed.): pp.219-224
Publisher: World Scientific
Issue Date: 2002
ISBN: 9812382437
Conference Name: International Workshop on Systems, Signals and Image Processing (9th : 2002 : Manchester, England)
School/Discipline: School of Computer Science
Abstract: This paper deals with motion estimation of an airborne camera and generation of 3D landscape models from image sequences for object-based video coding. While most camera motion estimators use a random sampling outlier elimination, the presented new approach uses a priori knowledge to simplify the complexity of the outlier elimination and to achieve real time coding. Test results with synthetic sequences show an estimation error of maximal one percent for the motion parameter which leads to a good quality for the generated 3D object models.
Published version: ftp://ftp.tnt.uni-hannover.de/pub/papers/2002/IWSSIP-YLTTHB.pdf
Appears in Collections:Computer Science publications

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