• Title/Summary/Keyword: VOP extraction

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Preprocessing System for Real-time and High Compression MPEG-4 Video Coding (실시간 고압축 MPEG-4 비디오 코딩을 위한 전처리 시스템)

  • 김준기;홍성수;이호석
    • Journal of KIISE:Computing Practices and Letters
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    • v.9 no.5
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    • pp.509-520
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    • 2003
  • In this paper, we developed a new and robust algorithm for a practical and very efficient MPEG-4 video coding. The MPEG-4 video group has developed the video Verification Model(VM) which evolved through time by means of core experiments. And in the standardization process, MS-FDAM was developed based on the standard document of ISO/IEC 14496-2 and VM as a reference MPEG-4 coding system. But MS -FDAM has drawbacks in practical MPEG-4 coding and it does not have the VOP extraction functionality. In this research, we implemented a preprocessing system for a real-time input and the VOP extraction for a practical content-based MPEG-4 video coding and also implemented the motion detection to achieve the high compression rate of 180:1.

A Robust Algorithm for Moving Object Segmentation and VOP Extraction in Video Sequences (비디오 시퀸스에서 움직임 객체 분할과 VOP 추출을 위한 강력한 알고리즘)

  • Kim, Jun-Ki;Lee, Ho-Suk
    • Journal of KIISE:Computing Practices and Letters
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    • v.8 no.4
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    • pp.430-441
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    • 2002
  • Video object segmentation is an important component for object-based video coding scheme such as MPEG-4. In this paper, a robust algorithm for segmentation of moving objects in video sequences and VOP(Video Object Planes) extraction is presented. The points of this paper are detection, of an accurate object boundary by associating moving object edge with spatial object edge and generation of VOP. The algorithm begins with the difference between two successive frames. And after extracting difference image, the accurate moving object edge is produced by using the Canny algorithm and morphological operation. To enhance extracting performance, we app]y the morphological operation to extract more accurate VOP. To be specific, we apply morphological erosion operation to detect only accurate object edges. And moving object edges between two images are generated by adjusting the size of the edges. This paper presents a robust algorithm implementation for fast moving object detection by extracting accurate object boundaries in video sequences.

Design and Implementation of the I-VOP extraction algorithm through analysis of the MPEG-4 file format (MPEG-4 파일 포맷 분석을 통한 I-VOP추출 알고리즘 설계 및 구현)

  • Kim, Yong-Bin;Kim, Jun-Il;Shin, Dong-Il;Shin, Dong-Kyoo;Park, Ji-Hyun;Lee, Jun-Suk
    • Proceedings of the Korea Information Processing Society Conference
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    • 2003.05a
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    • pp.87-90
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    • 2003
  • MPEG-4는 "내용 기반 부호화"를 전제로 하는데, 영상을 객체 단위로 나누어 처리하므로, 사용자의 의도에 따라 다양한 형태의 조작과 디스플레이가 가능하다. 따라서 본 논문에서는 MPEG-4 파일의 분석을 통한 비주얼 요소 중 가장 중요한 I-VOP을 추출하는 알고리즘을 설계 및 구현하여 보다 다양한 멀티미디어 서비스에 적용하는 방안을 마련하였다.

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Video object segmentation and frame preprocessing for real-time and high compression MPEG-4 encoding (실시간 고압축 MPEG-4 부호화를 위한 비디오 객체 분할과 프레임 전처리)

  • 김준기;이호석
    • The Journal of Korean Institute of Communications and Information Sciences
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    • v.28 no.2C
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    • pp.147-161
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    • 2003
  • 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.

Video Segmentation using the Level Set Method (Level Set 방법을 이용한 영상분할 알고리즘)

  • 김대희;호요성
    • Journal of the Institute of Electronics Engineers of Korea SP
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    • v.40 no.5
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    • pp.303-311
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    • 2003
  • Since the MPEG-4 visual standard enables content-based functionalities, it is necessary to extract video object from natural video sequences. Segmentation algorithms can largely be classified into automatic segmentation and user-assisted segmentation. In this paper, we propose a user-assisted VOP generation method based on the geometric active contour. Since the geometric active contour, unlike the parametric active contour, employs the level set method to evolve the curve, we can draw the initial curve independent of the shape of the object. In order to generate the edge function from a smoothed image, we propose a vector-valued diffusion process in the LUV color space. We also present a discrete 3-D diffusion model for easy implementation. By combining the curve shrinkage in the vector field space with the curve expansion in the empty vector space, we can make accurate extraction of visual objects from video sequences.