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Optical Engineering

New video segmentation algorithm using a combined segmentation measure for content-based coding
Author(s): Kun-Woen Song; Kyeong-Man Kim; Kyu-Phil Han; Jae Yeal Nam; Yeong-Ho Ha
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Paper Abstract

A new video segmentation algorithm using a combined segmentation measure for content-based coding is presented. The combined segmentation measure is a weighted sum of intensity, motion, and a change segmentation measure. The change segmentation measure is defined from a change image, which is obtained from the proposed change detector. The proposed change detector performs morphological erosion filtering to eliminate many inaccurate components, included in the resulting image obtained from a conventional change detector. Since the change segmentation measure is defined as an absolute change value difference between a pixel and its neighboring region, it can be an efficient segmentation measure for the accurate segmentation of neighboring moving objects and static background regions. Therefore, the proposed combined segmentation measure can determine exact boundaries even though the estimated motion vectors around the boundaries of moving objects and static background regions are inaccurate and the intensities around the boundaries are similar. From the experimental results for a video segmentation, since the combined segmentation measure can accurately segment the boundaries between moving objects and static background regions, the motion compensated images produced by the proposed segmentation algorithm show improved image quality compared to the conventional segmentation.

Paper Details

Date Published: 1 August 2000
PDF: 10 pages
Opt. Eng. 39(8) doi: 10.1117/1.1305491
Published in: Optical Engineering Volume 39, Issue 8
Show Author Affiliations
Kun-Woen Song, Uiduk Univ. (South Korea)
Kyeong-Man Kim, Kyungpook National Univ. (South Korea)
Kyu-Phil Han, Kyungpook National Univ. (South Korea)
Jae Yeal Nam, Keimyung Univ. (South Korea)
Yeong-Ho Ha, Kyungpook National Univ. (South Korea)


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