Yue Chen

• University of California, Santa Barbara

Graph filtering is a fundamental tool in graph signal processing. Polynomial graph filters (PGFs), defined as polynomials of a fundamental graph operator, can be implemented in the vertex domain, and usually have a lower complexity than frequency domain filter implementations. In this paper, we focus on the design of filters for graphs with graph F...

Graph filtering is a fundamental tool in graph signal processing. Polynomial graph filters (PGFs), defined as polynomials of a fundamental graph operator, can be implemented in the vertex domain, and usually have a lower complexity than frequency domain filter implementations. In this paper, we focus on the design of filters for graphs with graph F...

The AV1 video compression format is developed by the Alliance for Open Media consortium. It achieves more than a 30% reduction in bit rate compared to its predecessor VP9 for the same decoded video quality. This article provides a technical overview of the AV1 codec design that enables the compression performance gains with considerations for hardw...

The AV1 video compression format is developed by the Alliance for Open Media consortium. It achieves more than 30% reduction in bit-rate compared to its predecessor VP9 for the same decoded video quality. This paper provides a technical overview of the AV1 codec design that enables the compression performance gains with considerations for hardware...

In 2018, the Alliance for Open Media (AOMedia) finalized its first video compression format AV1, which is jointly developed by the industry consortium of leading video technology companies. The main goal of AV1 is to provide an open source and royalty-free video coding format that substantially outperforms state-of-the-art codecs available on the m...

In image and video coding applications, distortion has been traditionally measured using mean square error (MSE), which suggests the use of orthogonal transforms, such as the discrete cosine transform (DCT). Perceptual metrics such as Structural Similarity (SSIM) are typically used after encoding, but not tied to the encoding process. In this paper...

Conventional intra prediction modes in image and video coding generate an estimation of a target block by copying or projecting its causal neighboring pixels along certain angles. Such simple directional model does not work well for complex image structures. A set of context-adaptive intra prediction modes based on recursive filtering is proposed i...

Recent video coding techniques allow for decoupling of the transform block partition from that employed for prediction. For example, HEVC allows a transform block to overlap multiple prediction blocks. This paper is premised on the observation that in order to truly realize the potential of such enhanced flexibility, it is necessary to account for...

Conventional “pixel copying” prediction used in current video standards was shown in previous work to be sub-optimal compared to 2-D non-separable Markov model based recursive extrapolation approaches. The premise of this paper is that in order to achieve the full potential of these approaches it is necessary to account for several requirements, na...

Most modern video compression codecs, like VP9, HEVC and H.264, encode square or rectangular blocks either by inter prediction or intra prediction. A joint inter-intra predictor that combines motion compensation and intra extrapolation by two novel weighting schemes is proposed to improve compression quality. Prior work on joint prediction employs...

A novel filtering approach that naturally combines information from both intra-frame and motion compensated referencing for efficient prediction is proposed to fully exploit the spatio-temporal correlations of video signals, thereby achieving superior compression performance. Inspiration was drawn from our recent work on extrapolation filter based...

A novel intra prediction scheme, based on recursive extrapolation filters, is introduced. Standard intra prediction largely consists of copying boundary pixels (or linear combinations thereof) along certain directions, which reflects an overly simplistic model for the underlying spatial correlations. As an alternative, we view the image signal as a...