• Title/Summary/Keyword: GOP Conversion

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EFFICIENT VIDEO TRANSCODING IN THE GOP STRUCTURE CONVERSION (GOP 구조 변환에 있어서의 효율적인 트랜스코딩 기법)

  • Lee, Kang-Jun;Kim, Jeong-Jun;Jeong, Je-Chang
    • Proceedings of the KIEE Conference
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    • 2007.04a
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    • pp.292-294
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    • 2007
  • Recently, for satisfying many application demands such as coding delay, computing power, transporting channel characteristic, etc, many profiles are supported in video coding standards. Therefore, in transcoding between same standards or between other standards, the functional difference of profiles supported by application occur many problems. In this paper, transcoding MPEG-2 main profile to H.264/AVC baseline profile which has restriction in the number of reference frame is focused. In this case, the bidirectional prediction supported in MPEG-2 main profile is not supported in H.264/AVC baseline profile. Also, in the restriction of reference frame, motion vectors in the MPEG-2 decoder as predictor should be adjusted. In this paper, the proposed algorithm is based on the characteristic of which motion. vector is uniform according to the distance from reference frame. The adaptive search techniques through the determination of the uniformity extremely reduce the computational complexity.

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Transcoding MPEG-2 to H.264/AVC in the GOP Structure Conversion (GOP 구조 변환을 포함하는 MPEG-2에서 H.264/AVC로의 트랜스코딩)

  • Lee, Kang-Jun;Ha, Chang-Woo;Jeong, Je-Chang
    • Journal of Broadcast Engineering
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    • v.14 no.1
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    • pp.3-14
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    • 2009
  • Currently, H.264/AVC is used in many multimedia applications. Also, The MPEG-2 main profile which supports B pictures for bi-directional motion prediction is widely used in applications such as HDTV and DVD’s. Therefore, transcoding the MPEG-2 main profile to the H.264/AVC baseline is necessary for universal multimedia access. In this transcoding architecture including the GOP structure conversion, the proposed algorithms adopt the adaptive search range selection through the linearity test of a predictive motion vector and adaptive mode selection using the reference region complexity information. The proposed algorithms extremely reduce the computational complexity while maintaining the video quality.