VIDEO OBJECT SEGMENTATION FOR CONTENT-BASED VIDEO CODING

Liu Xinchun; Zhou Jianyu; Zou Mouyan

Volume 23 Issue 12

Dec. 2001

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Article Navigation > Journal of Electronics & Information Technology > 2001 > 23(12): 1434-1437

Liu Xinchun, Zhou Jianyu, Zou Mouyan. VIDEO OBJECT SEGMENTATION FOR CONTENT-BASED VIDEO CODING[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1434-1437.

Citation:

Liu Xinchun, Zhou Jianyu, Zou Mouyan. VIDEO OBJECT SEGMENTATION FOR CONTENT-BASED VIDEO CODING[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1434-1437.

Liu Xinchun, Zhou Jianyu, Zou Mouyan. VIDEO OBJECT SEGMENTATION FOR CONTENT-BASED VIDEO CODING[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1434-1437.

Citation:

Liu Xinchun, Zhou Jianyu, Zou Mouyan. VIDEO OBJECT SEGMENTATION FOR CONTENT-BASED VIDEO CODING[J]. Journal of Electronics & Information Technology, 2001, 23(12): 1434-1437.

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VIDEO OBJECT SEGMENTATION FOR CONTENT-BASED VIDEO CODING

Liu Xinchun^{①;周建宇},
Zhou Jianyu,
Zou Mouyan

Received Date: 2000-01-28
Rev Recd Date: 2000-10-12
Publish Date: 2001-12-19

Abstract

Abstract

This paper deals with automatic object segmentation method for object-oriented video encoding. Since methods of mathematical morphology are capable of detecting geometrical features such as size, contrast, or connectivity which are important to image segmentation. Intra-frame segmentation is in first step performed using morphological tools. After obtaining different areas in intra-frame segmentation step, a few video object areas can be merged according to their motion parameters. Finally, a new technique for the detection of motion of a local area is proposed. A two-dimensional binary model can be obtained from the object of interest. By introducing a refinement step, the border pixels can be categorized into one of the neighboring objects so as to achieve a minimum predictive error that computed from its model parameters. Experimental results demonstrate a successful segmentation of objects located in a still or moving background.

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References(1)

References

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