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

김준기 (호서대학교 컴퓨터공학과 멀티미디어 연구실)
이호석 (호서대학교 컴퓨터공학과)
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.
Keywords
MPEG-4; video object segmentation; real-time; high compression; preprocessing;
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