• Title/Summary/Keyword: inter-layer texture prediction

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Inter-layer Texture and Syntax Prediction for Scalable Video Coding

  • Lim, Woong;Choi, Hyomin;Nam, Junghak;Sim, Donggyu
    • IEIE Transactions on Smart Processing and Computing
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    • v.4 no.6
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    • pp.422-433
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    • 2015
  • In this paper, we demonstrate inter-layer prediction tools for scalable video coders. The proposed scalable coder is designed to support not only spatial, quality and temporal scalabilities, but also view scalability. In addition, we propose quad-tree inter-layer prediction tools to improve coding efficiency at enhancement layers. The proposed inter-layer prediction tools generate texture prediction signal with exploiting texture, syntaxes, and residual information from a reference layer. Furthermore, the tools can be used with inter and intra prediction blocks within a large coding unit. The proposed framework guarantees the rate distortion performance for a base layer because it does not have any compulsion such as constraint intra prediction. According to experiments, the framework supports the spatial scalable functionality with about 18.6%, 18.5% and 25.2% overhead bits against to the single layer coding. The proposed inter-layer prediction tool in multi-loop decoding design framework enables to achieve coding gains of 14.0%, 5.1%, and 12.1% in BD-Bitrate at the enhancement layer, compared to a single layer HEVC for all-intra, low-delay, and random access cases, respectively. For the single-loop decoding design, the proposed quad-tree inter-layer prediction can achieve 14.0%, 3.7%, and 9.8% bit saving.

Adaptive Inter-Layer Prediction for Intra Texture on H.264 Scalable Video Coding (H.264 기반 스케일러블 비디오 부호화에서 인트라 블럭에 대한 적응적인 계층간 예측 연구)

  • Oh, Hyung-Suk;Park, Seong-Ho;Cheon, Min-Su;Kim, Won-Ha
    • Proceedings of the KIEE Conference
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    • 2005.10b
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    • pp.195-197
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    • 2005
  • In the scalable extension of H.264/AVC, spatial scalability is provided residual information as encoding layered spatial resolution between layers. We use the inter-layer prediction to remove this redundancy. In the inter-layer prediction, as the prediction we can use the signal that is the upsampled signal of the lower resolution layer. In this case, coding efficiency can be different from optimal prediction by kinds of interpolation filter. This paper indicates technique to choose the interpolation filter and to enhance coding efficiency for finding more correct prediction in intra macroblock.

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Efficient Entropy Coding Method for Scalable Video Coding (스케일러블 비디오 부호화를 위한 효율적인 엔트로피 부호화 방법)

  • Choi, Hyo-Min;Nam, Jung-Hak;Sim, Dong-Gyu;Choi, Byeong-Doo;Cho, Dae-Sung
    • Journal of Broadcast Engineering
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    • v.15 no.5
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    • pp.653-664
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    • 2010
  • Generally existing video codec employs entropy coding to deal with residual signals with considering temporal and spatial properties. Scalable Video Coding(SVC) which is extension of H.264/AVC has three technical concepts for removing redundancies between inter-layers. In spite of using novel prediction method between inter-layers in SVC, it is still using same entropy coding method to residual signals. According to the studies, the residual obtained by inter-layer prediction technique has different features of residual signal acquired by spatial or temporal prediction technique. In this paper, we propose an efficient entropy coding method which codes the residual signal obtained by inter-layer prediction with regarding its features adequately. We re-designed the Coded Block Pattern(CBP) table suitably for inter-layer texture prediction. The experiments show that the proposed method can further reduce the BD-Bitrate up to average 2.20% in 4CIF and 1.14% in CIF resolution compared to the existing JSVM 9.18.

Overview of Inter-Component Coding in 3D-HEVC (3D-HEVC를 위한 인터-컴포넌트 부호화 방법)

  • Park, Min Woo;Lee, Jin Young;Kim, Chanyul
    • Journal of Broadcast Engineering
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    • v.20 no.4
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    • pp.545-556
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    • 2015
  • A HEVC-compatible 3D video coding method (3D-HEVC) has been recently developed as an extension of the high efficiency video coding (HEVC) standard. In order to efficiently deal with the multi-view video plus depth (MVD) format, 3D-HEVC exploits an inter-component prediction which allows the prediction between texture and depth map images in addition to a temporal prediction used in the conventional single layer video coding such as H.264/AVC and HEVC. The performance of the inter-component prediction is normally affected by the accuracy of the disparity vector, and thus it is important to have an accurate disparity vector used for the inter-component prediction. This paper, therefore, introduces a disparity derivation method and inter-component algorithms using the disparity vector for the efficient 3D video coding. Simulation results show that the 3D-HEVC provides higher coding performance compared with the simulcast approach using HEVC and the simple multi-view extension (MH-HEVC).

A Fast Inter-layer Mode Decision Method inScalable Video Coding (공간적 스케일러블 비디오 부호화에서 계층간 모드 고속 결정 방법)

  • Lee, Bum-Shik;Hahm, Sang-Jin;Park, Chang-Seob;Park, Keun-Soo;Kim, Mun-Churl
    • Journal of Broadcast Engineering
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    • v.12 no.4
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    • pp.360-372
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    • 2007
  • We propose a fast inter-layer mode decision method by utilizing coding information of base layer upward its enhancement layer inscalable video coding (SVC), also called MPEG-4 part 10 Advanced Video Coding Amendment 3 or H.264 Scalable Extension (SE) which is being standardized. In this paper, when the motion vectors from the base layer have zero motion (0, 0) in inter-layer motion prediction or the Integer Transform coefficients of the residual between current MB and the motion compensated MB by the predicted motion vectors from the base layer are all zero, the block mode of the corresponding block to be encoded at the enhancement layer is determined to be the $16{\times}16$ mode. In addition, if the predicted mode of the MB to be encoded at the enhancement layer is not equal to the $16{\times}16$ mode, then the rate-distortion optimization is only performed on the reduced candidated modes which are same or smaller partitioned modes. Our proposed method exhibits the complexity reduction in encoding time up to 72%. Nevertheless, it shows negligible PSNR degradation and bit rate increase up to 0.25dB and 1.73%, respectively.