Vertex-based hierarchical shape representation and coding method

Image analysis – Image compression or coding – Shape – icon – or feature-based compression

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382240, G06K 900

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058388303

ABSTRACT:
A method of vertex-based hierarchical shape representation and coding includes selecting an image of interest, defining a boundary about an object of interest within the image of interest, wherein the boundary is defined by a set of contour points, selecting a number of layers, each layer having a predefined saliency parameter associated therewith, wherein the saliency parameter defines a range of layers from a most salient layer to a least salient layer, identifying the most salient contour points in the boundary and placing the most salient contour points in the most salient layer, identifying the next most salient contour points in the boundary and placing the next most salient contour points in the next most salient layer until all of the selected layers have contour points placed therein, and hierarchically storing the layers in a database. A vertex-based hierarchical shape representation and coding system includes an image input which contains and image of interest, an analyzer to select an object of interest within the image, a manipulation mechanism to define a boundary about the object of interest and define a set of contour points on that boundary, and a selections mechanism to place selected contour points into hierarchical layers of like salient contour points.

REFERENCES:
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patent: 5764814 (1998-06-01), Chen et al.
Fischler et al., Perceptual Organization and Curve Partitioning, IEEE Transactions on Pattern Analysisand Machine Intelligence, vol. PAMI-8, No. 1, pp. 100-105, Jan. 1, 1986.
Hager et al., Real-Time Tacking of Image Regions with Changes in Geometry and Illumination, Proc. Int. Conf. Computer Vision and Pattern Recognition, pp. 403-410, San Francisco, Ca, 1996.
Core Experiments on MPEG-4 Video Shape Coding, International Organisation for Standardisation: Coding of Moving Pictures and Audio Information, ISO/IEC JTC1/SC29/WG11 N1382, Nov. 11, 1996. No Page Number.
Qian et al., Object Detection Using Hierarchical MRF and MAP Estimation, Proc. Computer Vision and Pattern Recognition, Puerto Rico, Jun. 1997.

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