The paper illustrates a method for affine warping-based motion compensation using the computing architecture of H263 advanced prediction (AP) mode, namely, changing the (constant) weighting matrices in the H263 AP algorithm. In particular, we analytically derive a realization of affine image prediction based on a regular mesh in presence of linear resampling. The work shows, by means of analytical derivation and simulation results, an intrinsic similarity relationship between the affine motion model and the H.263 advanced prediction technique. The analysis offers a rational basis to explain the performance of H.263 AP as a coarse approximation of affine prediction.

On the computation of warping-based motion compensation in video sequence coding / A., Neri; Colonnese, Stefania. - In: SIGNAL PROCESSING-IMAGE COMMUNICATION. - ISSN 0923-5965. - 13:2(1998), pp. 155-160. [10.1016/s0923-5965(98)00002-2]

On the computation of warping-based motion compensation in video sequence coding

COLONNESE, Stefania
1998

Abstract

The paper illustrates a method for affine warping-based motion compensation using the computing architecture of H263 advanced prediction (AP) mode, namely, changing the (constant) weighting matrices in the H263 AP algorithm. In particular, we analytically derive a realization of affine image prediction based on a regular mesh in presence of linear resampling. The work shows, by means of analytical derivation and simulation results, an intrinsic similarity relationship between the affine motion model and the H.263 advanced prediction technique. The analysis offers a rational basis to explain the performance of H.263 AP as a coarse approximation of affine prediction.
1998
affine prediction; video coder; H.263 advanced prediction
01 Pubblicazione su rivista::01a Articolo in rivista
On the computation of warping-based motion compensation in video sequence coding / A., Neri; Colonnese, Stefania. - In: SIGNAL PROCESSING-IMAGE COMMUNICATION. - ISSN 0923-5965. - 13:2(1998), pp. 155-160. [10.1016/s0923-5965(98)00002-2]
File allegati a questo prodotto
File Dimensione Formato  
Neri_Computation_1998.pdf

solo gestori archivio

Tipologia: Versione editoriale (versione pubblicata con il layout dell'editore)
Licenza: Tutti i diritti riservati (All rights reserved)
Dimensione 475.35 kB
Formato Adobe PDF
475.35 kB Adobe PDF   Contatta l'autore

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11573/128706
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus 1
  • ???jsp.display-item.citation.isi??? 1
social impact