Título:
Extraction of semantic objects from still images
Otros títulos:
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Compilador:
Autor:
Pardo, Alvaro
Tutor:
Tipo de documento:
Artículo
Editor:
Palabras clave:
Image segmentation
Feature extraction
Still images
Feature extraction
Still images
Descriptores:
Año de publicación:
2002
Contenido:
Resumen:
In this work, we study the extraction of semantic objects from still images. We combine different ideas to extract them in a structured manner together with a perceptual metric that ranks them according with its perceptual relevance. The algorithm has four steps, the regularization of the initial segmentation using probability diffusion [1], simplification of the segmentation via region merging, computation of the perceptual metric based on [2] and construction of the structure that represents the image (the binary partition tree [3]).
Descripción:
Postprint
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IEEE
EN:
Financiadores:
Citación:
Pardo, A. Extraction of semantic objects from still images [en línea] International Conference on Image Processing, 2002. doi 10.1109/ICIP.2002.1038966
Citación:
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Licencia:
Licencia Creative Commons Atribución – No Comercial – Sin Derivadas (CC - By-NC-ND)
Colecciones:
| Ficheros | Descripción | Tamaño | Formato | ||
|---|---|---|---|---|---|
| Par02.pdf | — | 284.43 KB | Adobe PDF |