A Study on Video Object Segmentation using Nonlinear Multiscale Filtering 


Vol. 28,  No. 10, pp. 1023-1032, Oct.  2003


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  Abstract

Object-based coding, such as MPEG-4, enables various content-based functionalities for multimedia applications- In order to support such functionalities, as well as to improve ending efficiency, each frame of video sequences should be segmented into video objects. In this paper, we propose an effective video object segmentation method using nonlinear multiscale filtering and spatio-temporal information Proposed method performs a spatial segmentation using a nonlinear multiscale filtering based on the stabilized inverse diffusion equation(SIDE). And, the segmented regions arc merged using region adjacency graph(RAG). In this paper, we use a statistical significance test and a time-variant memory and temporal segmentation methods. By combining of extracted spatial and temporal segmentations, we can segment the video objects effectively. Proposed method is more robust to noise than the existing watershed algorithm. Experimental result shows that the proposed method improves a boundary accuracy ratio by 43% on "Akiyo" and by 29% on "Claire" than A. Neri's Method does.

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  Cite this article

[IEEE Style]

W. Lee, T. Kim, G. Lee, D. Jeong, "A Study on Video Object Segmentation using Nonlinear Multiscale Filtering," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 10, pp. 1023-1032, 2003. DOI: .

[ACM Style]

Woong-Hee Lee, Tae-Hee Kim, Gyu-Dong Lee, and Dong-Seok Jeong. 2003. A Study on Video Object Segmentation using Nonlinear Multiscale Filtering. The Journal of Korean Institute of Communications and Information Sciences, 28, 10, (2003), 1023-1032. DOI: .

[KICS Style]

Woong-Hee Lee, Tae-Hee Kim, Gyu-Dong Lee, Dong-Seok Jeong, "A Study on Video Object Segmentation using Nonlinear Multiscale Filtering," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 10, pp. 1023-1032, 10. 2003.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880