Abstract
The new generation of image sequence coders - the object-oriented coders-consist in describing the sequence as a set of moving objects, of arbitrary size and shape. This approach allows the development of new object-based functionalities. One of the main problems to be solved in region-based coding is the coding of the texture of the objects. As for the classical block-based coding, a linear transform can be used to eliminate the input signal redundancies. This article describes transform methods for arbitrarily shaped regions of support, classified into two categories : the shape-adaptive methods and the extrapolation methods. The main differences between these two classes are discussed and the points that need further investigation are raised.
Résumé
La nouvelle approche en codage d’images animées, dite approche par régions, consiste à considérer l’image comme un ensemble d’objets en mouvement, de tailles et de formes arbitraires. Cette description permet de développer de nouvelles fonctionnalités. Un des principaux problèmes à résoudre dans un codeur orientée régions est le codage de la texture des objets. Comme dans le codage classique par blocs, l’utilisation préalable d’une transformation linéaire permet d’éliminer les redondances du signal et de concentrer l’énergie sur quelques composantes spectrales. Cet article réunit les méthodes d’application d’une transformation linéaire sur un support arbitraire, classées en deux catégories : méthodes adaptées à la forme du support et méthodes d’extrapolation. Les principales différences entre ces deux classes de méthodes sont discutées, et les points qui nécessitent approfondissement sont mis en évidence.
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Donescu, I., Sikora, T. & Chen, H. Texture coding on arbitrarily shaped image segments : transform methods*. Ann. Télécommun. 53, 179–191 (1998). https://doi.org/10.1007/BF02997676
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DOI: https://doi.org/10.1007/BF02997676
Key words
- Image coding
- Texture
- Sequence image
- Segmentation
- Mathematical transformation
- Discrete transformation
- Cosine transformation
- Extrapolation
- Deconvolution
- Linear transformation