In-loop filter using block-based filter control for video coding

Watanabe, Takashi; Wada, Naohisa; Yasuda, Goki; Tanizawa, Akiyuki; Chujoh, Takeshi; Yamakage, Tomoo

doi:10.1109/icip.2009.5413819

Cited by 20 publications

(7 citation statements)

References 2 publications

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“…Simulation results show that the BAIF scheme consistently achieves the best coding performance when compared to other existing AIF schemes. The concept of buffering adaptive filters can also be extended to other areas of study, for example, where adaptive filters are used as in-loop filters [14] [15].…”

Section: Discussionmentioning

confidence: 99%

Buffered adaptive interpolation filters

Yan

Tourapis

2010

2010 IEEE International Conference on Multimedia and Expo

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H.264/MPEG-4 AVC uses motion prediction with fractional-pixel precision to reduce the temporal redundancy that often exists in a video signal. Previously, it has been shown that Adaptive Interpolation Filter (AIF) methods can significantly improve coding performance compared to the fixed interpolation filters used by existing codecs by adaptively tuning the motion interpolation filters to the video signal's statistics. In this work, a new AIF scheme, named the Buffered Adaptive Interpolation Filter (BAIF) scheme, is presented. The proposed scheme allows the video codec to better exploit the statistical similarities that usually exist among consecutive pictures, thereby improving performance. Specifically, filter buffers are established to store the adaptive interpolation filters previously sent in the bitstream and use them to code subsequent pictures. Further, when multiple reference pictures are used, the proposed scheme allows different interpolation filters to be used for different reference pictures. Simulation results show that the proposed scheme consistently achieves better coding performance than existing AIF schemes. Compared to the current state-of-the-art Enhanced Adaptive Interpolation Filter (EAIF) scheme, the proposed scheme achieves additional coding gain of up to 3%. Compared to H.264/AVC, coding performance is improved by up to 20%.

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Section: Discussionmentioning

confidence: 99%

Buffered adaptive interpolation filters

Yan

Tourapis

2010

2010 IEEE International Conference on Multimedia and Expo

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“…Existing in-loop filters such as the H.264/AVC deblocking filter and Wiener filter [24], which are mainly designed for the color video, may not be suitable for the depth map compression with different characteristics. In this paper, the weighted mode filtering concept is employed to design an in-loop edge-preserving denoising filter.…”

Section: A In-loop Filtermentioning

confidence: 99%

Efficient Techniques for Depth Video Compression Using Weighted Mode Filtering

Nguyên

Min

2013

IEEE Trans. Circuits Syst. Video Technol.

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Abstract-This paper proposes efficient techniques to compress a depth video by taking into account coding artifacts, spatial resolution, and dynamic range of the depth data. Due to abrupt signal changes on object boundaries, a depth video compressed by conventional video coding standards often introduces serious coding artifacts over object boundaries, which severely affect the quality of a synthesized view. We suppress the coding artifacts by proposing an efficient post-processing method based on a weighted mode filtering and utilizing it as an in-loop filter. In addition, the proposed filter is also tailored to reconstruct efficiently the depth video from the reduced spatial resolution and the low dynamic range. The down/upsampling coding approaches for the spatial resolution and the dynamic range are used together with the proposed filter in order to further reduce the bit rate. We verify the proposed techniques by applying to an efficient compression of multiview-plus-depth data, which has emerged as an efficient data representation for 3D video. Experimental results show that the proposed techniques significantly reduce the bit rate while achieving a better quality of the synthesized view in terms of both objective and subjective measures. IndexTerms-Weighted mode filtering, depth down/upsampling, depth dynamic range, depth coding, 3D video

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“…1 [6]. This BAFC algorithm can improve coding performance by reducing the pixel errors via applying the Wiener filter once again on the deblocking filtered frame [6]. The computed Wiener filter coefficients for current frame are predicted from the filter coefficients of the previous frame.…”

Section: Adaptive Loop Filteringmentioning

confidence: 99%

“…We also use a filter re-design process that recalculates the filter coefficients based on RD cost [6]. The initial filter coefficients are calculated for the whole pixels of the current frame.…”

Section: A Filter Designmentioning

confidence: 99%

Macroblock-Based Adaptive Loop Filter for Video Compression

Sim

Kim

2011

2011 International Conference on Multimedia and Signal Processing

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In this paper, we propose an adaptive loop filter that can work on macroblock-level encoding. First, we calculate the filter coefficients that minimize the mean square error between original and encoded frames, and we then apply 2D-filtering to the encoded macroblock using the coefficients. In addition to alleviating blockness, the proposed filtering process improves coding efficiency by allowing the use of filtered pixels as reference pixels for consecutive macroblock coding. The experimental results show that the proposed macroblock-based adaptive loop filter (MBALF) methods can achieve 6% bitrate reduction on average, as compared with the H.264/AVC high profile.

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In-loop filter using block-based filter control for video coding

Cited by 20 publications

References 2 publications

Buffered adaptive interpolation filters

Buffered adaptive interpolation filters

Efficient Techniques for Depth Video Compression Using Weighted Mode Filtering

Macroblock-Based Adaptive Loop Filter for Video Compression

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