New video segmentation algorithm using a combined segmentation measure for content-based coding

Kun-Woen Song; Kyeong-Man Kim; Kyu-Phil Han; Jae Yeal Nam; Yeong-Ho Ha

doi:10.1117/1.1305491

1 August 2000 New video segmentation algorithm using a combined segmentation measure for content-based coding

Kun-Woen Song, Kyeong-Man Kim, Kyu-Phil Han, Jae Yeal Nam, Yeong-Ho Ha

Optical Engineering, Vol. 39, Issue 8, (August 2000). https://doi.org/10.1117/1.1305491

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.

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Kun-Woen Song, Kyeong-Man Kim, Kyu-Phil Han, Jae Yeal Nam, and Yeong-Ho Ha "New video segmentation algorithm using a combined segmentation measure for content-based coding," Optical Engineering 39(8), (1 August 2000). https://doi.org/10.1117/1.1305491

Published: 1 August 2000

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KEYWORDS

Image segmentation

Motion measurement

Image processing algorithms and systems

Motion estimation

Video

Sensors

Digital filtering

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