## Abstract The purpose of this paper is to improve the coding efficiency of motion pictures by proposing a region segmentation method using the genetic algorithm (GA). In motionβcompensated predictive coding, region segmentation and motion estimation are closely related to each other, and they sho
Region-Based Parametric Motion Segmentation Using Color Information
β Scribed by Yucel Altunbasak; P.Erhan Eren; A.Murat Tekalp
- Publisher
- Elsevier Science
- Year
- 1998
- Tongue
- English
- Weight
- 1019 KB
- Volume
- 60
- Category
- Article
- ISSN
- 1077-3169
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β¦ Synopsis
This paper presents pixel-based and region-based parametric motion segmentation methods for robust motion segmentation with the goal of aligning motion boundaries with those of real objects in a scene. We first describe a two-step iterative procedure for parametric motion segmentation by either motion-vector or motioncompensated intensity matching. We next present a region-based extension of this method, whereby all pixels within a predefined spatial region are assigned the same motion label. These predefined regions may be fixed-or variable-size blocks or arbitrary-shaped areas defined by color or texture uniformity. A particular combination of these pixel-based and region-based methods is then proposed as a complete algorithm to obtain the best possible segmentation results on a variety of image sequences. Experimental results showing the benefits of the proposed scheme are provided.
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