High Efficiency Video Coding (HEVC) is currently being prepared as the newest video coding standard of the ITU-T Video Coding Experts Group and the ISO/IEC Moving Picture Experts Group. The main goal of the HEVC standardization effort is to enable significantly improved compression performance relative to existing standards-in the range of 50% bit-rate reduction for equal perceptual video quality. This paper provides an overview of the technical features and characteristics of the HEVC standard.

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Overview of the High Efficiency Video Coding (HEVC) Standard

The compression capability of several generations of video coding standards is compared by means of peak signal-to-noise ratio (PSNR) and subjective testing results. A unified approach is applied to the analysis of designs, including H.262/MPEG-2 Video, H.263, MPEG-4 Visual, H.264/MPEG-4 Advanced Video Coding (AVC), and High Efficiency Video Coding (HEVC). The results of subjective tests for WVGA and HD sequences indicate that HEVC encoders can achieve equivalent subjective reproduction quality as encoders that conform to H.264/MPEG-4 AVC when using approximately 50% less bit rate on average. The HEVC design is shown to be especially effective for low bit rates, high-resolution video content, and low-delay communication applications. The measured subjective improvement somewhat exceeds the improvement measured by the PSNR metric.

http://amalia.img.lx.it.pt/~fp/cav/Additional_material/HEVC-Performance.pdf

Comparison of the Coding Efficiency of Video Coding Standards—Including High Efficiency Video Coding (HEVC)

With the aim of developing a fast yet accurate algorithm for compressive sensing (CS) reconstruction of natural images, we combine in this paper the merits of two existing categories of CS methods: the structure insights of traditional optimization-based methods and the speed of recent network-based ones. Specifically, we propose a novel structured deep network, dubbed ISTA-Net, which is inspired by the Iterative Shrinkage-Thresholding Algorithm (ISTA) for optimizing a general $$ norm CS reconstruction model. To cast ISTA into deep network form, we develop an effective strategy to solve the proximal mapping associated with the sparsity-inducing regularizer using nonlinear transforms. All the parameters in ISTA-Net (e.g. nonlinear transforms, shrinkage thresholds, step sizes, etc.) are learned end-to-end, rather than being hand-crafted. Moreover, considering that the residuals of natural images are more compressible, an enhanced version of ISTA-Net in the residual domain, dubbed ISTA-Net+, is derived to further improve CS reconstruction. Extensive CS experiments demonstrate that the proposed ISTA-Nets outperform existing state-of-the-art optimization-based and network-based CS methods by large margins, while maintaining fast computational speed. Our source codes are available: http://jianzhang.tech/projects/ISTA-Net.

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ISTA-Net: Interpretable Optimization-Inspired Deep Network for Image Compressive Sensing

Advances in video compression technology have been driven by ever-increasing processing power available in software and hardware. The emerging High Efficiency Video Coding (HEVC) standard aims to provide a doubling in coding efficiency with respect to the H.264/AVC high profile, delivering the same video quality at half the bit rate. In this paper, complexity-related aspects that were considered in the standardization process are described. Furthermore, profiling of reference software and optimized software gives an indication of where HEVC may be more complex than its predecessors and where it may be simpler. Overall, the complexity of HEVC decoders does not appear to be significantly different from that of H.264/AVC decoders; this makes HEVC decoding in software very practical on current hardware. HEVC encoders are expected to be several times more complex than H.264/AVC encoders and will be a subject of research in years to come.

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HEVC Complexity and Implementation Analysis

A method of decoding a video signal is disclosed. The present invention includes obtaining identification information indicating whether a coded picture of a current NAL unit is an inter-view picture group, obtaining interview reference information of the inter-view picture group, and constructing a reference picture list for inter-view prediction using the inter-view reference information according to the identification information, wherein the inter-view reference information includes view identification information of an inter-view reference picture.

Method and apparatus for decoding/encoding a video signal

A method and apparatus for performing a motion prediction using an inverse motion transformation are provided. The method includes generating a second motion vector by inverse-transforming a first motion vector of a second block in a lower layer, the second block corresponding to a first block in a current layer; predicting a motion vector of the first block using the second motion vector; and encoding the first block using the predicted motion vector. The apparatus includes a motion vector inverse-transforming unit that generates a second motion vector by inverse-transforming a first motion vector of a second block in a lower layer corresponding to a first block in a current layer; a predicting unit that predicts a motion vector of the first block using the second motion vector; and an inter-prediction encoding unit that encodes the first block using the predicted motion vector.

Method and apparatus for motion prediction using inverse motion transform

A method of encoding a video is provided, the method includes: determining a filtering boundary on which deblocking filtering is to be performed based on at least one data unit from among a plurality of coding units that are hierarchically configured according to depths indicating a number of times at least one maximum coding unit is spatially spilt, and a plurality of prediction units and a plurality of transformation units respectively for prediction and transformation of the plurality of coding units, determining filtering strength at the filtering boundary based on a prediction mode of a coding unit to which pixels adjacent to the filtering belong from among the plurality of coding units, and transformation coefficient values of the pixels adjacent to the filtering boundary, and performing deblocking filtering on the filtering boundary based on the determined filtering strength.

Video encoding method and video encoding apparatus and video decoding method and video decoding apparatus, which perform deblocking filtering based on tree-structure encoding units

Provided are an image encoding/decoding method and apparatus, which assign a virtual motion vector to a block that is encoded in an intra prediction mode and generate a new prediction block that is a combination of a prediction block generated by motion compensation using the virtual motion vector and another prediction block generated by intra prediction.

Image encoding/decoding method and apparatus

Coding efficiency gains in the High Efficiency Video Coding (H.265/HEVC) standard are achieved by improving many aspects of the traditional hybrid coding framework. Motion compensated prediction, and in particular the interpolation filter, is one of the areas that was improved significantly over H.264/AVC. This paper presents the details of the motion compensation interpolation filter design of the H.265/HEVC standard and its improvements over the interpolation filter design of H.264/AVC. These improvements include discrete cosine transform based filter coefficient design, utilizing longer filter taps for luma and chroma interpolation and using higher precision operations in the intermediate computations. The computational complexity of HEVC interpolation filter is also analyzed both from theoretical and practical perspectives. Experimental results show that a 4.5% average bitrate reduction for the luma component and 13.0% average bitrate reduction for the chroma components are achieved compared to interpolation filter of H.264/AVC. The coding efficiency gains are significant for some video sequences and can reach up to 21.7%.

Interpolation filter design in HEVC and its coding efficiency - complexity analysis

An apparatus and method are provided for independently parsing fine granular scalability (FGS) layers. A video-encoding method according to an exemplary embodiment of the present invention includes a frame-encoding unit which generates at least one quality layer from an input video frame, a coding-pass-selecting unit which selects a coding pass according to a coefficient of a reference block spatially neighboring a current block in order to code a coefficient of the current block included in the quality layer, and a pass-coding unit which losslessly codes the coefficient of the current block according to the selected coding pass.

Woo-Jin Han

Papers

Method and apparatus for motion prediction using inverse motion transform

Video encoding method and video encoding apparatus and video decoding method and video decoding apparatus, which perform deblocking filtering based on tree-structure encoding units

Image encoding/decoding method and apparatus

Interpolation filter design in HEVC and its coding efficiency - complexity analysis

Video coding method and apparatus supporting independent parsing