A New Similarity Measure for Sub-Pixel Accurate Motion Analysis in Object-Based Coding

Document Type:	Conference or workshop publication
Year of publication:	2001
Book title:	5th World Multiconference on Systemics, Cybernetics and Informatics and 7th International Conference on Information Systems Analysis and Synthesis : July 22-25, 2001, Orlando, Florida : proceedings
The title of a journal, publication series:	PROCEEDINGS World Multiconference on Systemics,Cybernetics and Informatics SCI 2001/ ISAS 2001: Communication Systems and Internet : Part II
Page range:	244-249
Place of publication:	Orlando, Fla.
Publishing house:	Internat. Inst. of Informatics and Systemics
Publication language:	English
Institution:	School of Business Informatics and Mathematics > Praktische Informatik IV (Effelsberg 1989-2017)
Subject:	004 Computer science, internet
Abstract:	A new similarity measure for motion-estimation and motion-compensated segmentation applications is presented. The new measure shows low sensitivity to image noise, is more tolerant to small errors in the motion model and it provides a sub-pixel accuracy which is comparable to conventional measures like mean-square error. The proposed measure shows a linear increase of error as a function of the displacement. This beneficial property has been exploited to design a novel motion-estimation algorithm with fast convergence.
Additional information:	CD-ROM

Dieser Eintrag ist Teil der Universitätsbibliographie.

BASE: Farin, Dirk ; With, Peter H. N. de

Google Scholar: Farin, Dirk ; With, Peter H. N. de

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