Video object segmentation and frame preprocessing for real-time and high compression MPEG-4 encoding 


Vol. 28,  No. 2, pp. 147-161, Feb.  2003


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  Abstract

Video object segmentation is one of the core technologies for content-based real-time MPEG-4 encoding system. For real-time requirement, the segmentation algorithm should be fast and accurate but almost all existing algorithms are computationally intensive and not suitable for real-time applications. The MPEG-4 VM(Verification Model) has provided basic algorithms for MPEG-4 encoding but it has many limitations in practical software development, real-time camera input system and compression efficiency. In this paper, we implemented the preprocessing system for real-time camera input and VOP extraction for content-based video coding and also implemented motion detection to achieve the 180:1 compression rate for real-time and high compression MPEG-4 encoding.

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  Cite this article

[IEEE Style]

J. Kim and H. Lee, "Video object segmentation and frame preprocessing for real-time and high compression MPEG-4 encoding," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 2, pp. 147-161, 2003. DOI: .

[ACM Style]

Jun-Ki Kim and Ho-Suk Lee. 2003. Video object segmentation and frame preprocessing for real-time and high compression MPEG-4 encoding. The Journal of Korean Institute of Communications and Information Sciences, 28, 2, (2003), 147-161. DOI: .

[KICS Style]

Jun-Ki Kim and Ho-Suk Lee, "Video object segmentation and frame preprocessing for real-time and high compression MPEG-4 encoding," The Journal of Korean Institute of Communications and Information Sciences, vol. 28, no. 2, pp. 147-161, 2. 2003.