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

An interframe wavelet video coding (IWVC) method by which an average temporal distance (ATD) is minimized is provided. The IWVC method comprises receiving a group-of-frames and decomposing the group-of-frames into difference frames and first average frames between the frames in a first forward temporal direction and a backward temporal direction, wavelet-decomposing the first difference frames and the first average frames, and quantizing coefficients resulting from the wavelet-decomposition to generate a bitstream. The IWVC method provides improved video coding performance.

Interframe wavelet video coding method

A method of encoding flags, a method of decoding flags and an apparatus thereof, in which flag encoding and decoding can be efficiently performed by using spatial correlation between various flags included a plurality of blocks are provided. The method includes collecting flag values respectively allocated to groups of the plurality of blocks according to spatial correlation of blocks to create a flag bit-string, dividing the flag bit-string into a plurality of divided bit-strings using a group size, setting a pattern bit indicating whether all bits included in the divided bit-strings are 0 or not, and performing entropy coding on the divided bit-strings according to the set pattern bit.

Method of encoding flag, method of decoding flag, and apparatus thereof

Provided are a method and apparatus for encoding an image by using sub-pixel-based motion prediction and a method and apparatus for decoding an image by using sub-pixel-based motion prediction. The method of encoding an image includes determining weights for respective low-precision sub-pixels for interpolation between the low-precision sub-pixels, determining an interpolation direction for the low-precision sub-pixels based on a position of a high-precision sub-pixel between the low-precision sub-pixels, and performing motion prediction in units of high-precision sub-pixels determined by interpolation which applies the interpolation direction and the weights to the low-precision sub-pixels.

Method and apparatus for encoding and decoding image by using sub-pixel-based motion prediction

A method and apparatus for encoding and decoding an image using a plurality of reference pictures. In an exemplary embodiment, the method of encoding an image comprises: generating information about transforms between a first picture and a second picture; generating a reference picture by transforming the second picture based on the generated information about transforms; predicting a current block of a current picture based on at least one of the reference picture and the first picture; and encoding the current block based on the predicting. Therefore, prediction encoding based on more accurate prediction is possible, thereby increasing a compression ratio of image encoding.

Method and apparatus for encoding and decoding an image based on plurality of reference pictures

Provided are a method and apparatus for transforming an image, in which an input image is transformed into a frequency domain by selectively using a plurality of frequency transform algorithms according to a frequency characteristic of the input image. The method includes: selecting a frequency transform algorithm to be used for a current block from a plurality of frequency transform algorithms according to a result obtained by transforming frequencies of peripheral blocks adjacent to the current block; and transforming the current block into a frequency domain by using the selected frequency transform algorithm.

Woo-Jin Han

Papers

Interframe wavelet video coding method

Method of encoding flag, method of decoding flag, and apparatus thereof

Method and apparatus for encoding and decoding image by using sub-pixel-based motion prediction

Method and apparatus for encoding and decoding an image based on plurality of reference pictures

Method and apparatus for transforming and inverse-transforming image