eSILICON LABS, INDIA

HEVC VIDEO CODECVinayagam M

Video Electronics

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Agenda

Video Coding

HEVC

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VIDEO CODING

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VIDEO CODING

• Lossless Compression

• Lossy Compression

• Transform Coding

• Motion Coding

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VIDEO CODER ARCHITECTURE

• Image / Video Coding Based on Block-Matching

– Assume frame f-1 has been encoded and reconstructed, and frame f is the current frame to be encoded

• Exploiting the redundancies

– Temporal

MC-Prediction (P and B frames)

– Spatial

Block DCT

– Color

Color Space Conversion

• Scalar quantization of DCT coefficients

• Zigzag scanning, runlength and Huffman coding of the nonzero quantized DCT coefficients

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VIDEO CODER ARCHITECTURE…

• Video Encoder

– Divide frame f into equal-size blocks

– For each source block,

Find its motion vector using the block-matching algorithm based on the reconstructed frame f-1

Compute the DFD of the block

– Transmit the motion vector of each block to decoder

– Compress DFD’s of each block

– Transmit the encoded DFD’s to decoder

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VIDEO CODER ARCHITECTURE…

• Video Encoder

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VIDEO CODER ARCHITECTURE…

• Video Decoder– Receive motion vector of each block from encoder

– Based on the motion vector ,find the best-matching block from thereference frame

ie,, Find the predicted current frame from the reference frame

– Receive the encoded DFD of each block from encoder

– Decode the DFD.

– Each reconstructed block in the current frame = Its decompressed DFD +the best-matching block

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VIDEO CODER ARCHITECTURE…

• Video Decoder

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VIDEO CODEC STANDARDS

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VIDEO CODEC STANDARDS…

• Based on the same fundamental building blocks

– Motion-compensated prediction (I, P, and B frames)

– 2-D Discrete Cosine Transform (DCT)

– Color space conversion

– Scalar quantization, runlengths, Huffman coding

• Additional tools added for different applications:

– Progressive or interlaced video

– Improved compression, error resilience, scalability, etc.

• MPEG-1/2/4, H.261/3/4

– Frame-based coding

• MPEG-4

– Object-based coding and Synthetic video

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VIDEO CODEC STANDARDS…

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HEVC

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HEVC

• Video Coding Standards Overview

Next Generation Broadcasting

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HEVC…

• MPEG-H

– High Efficiency Coding and Media Delivery inHeterogeneous Environments a new suite ofstandards providing technical solutions foremerging challenges in multimedia industries

– Part 1: System, MPEG Media Transport (MMT)Integrated services with multiple components in a hybriddelivery environment, providing support for seamless andefficient use of heterogeneous network environments,including broadcast, multicast, storage media and mobilenetworks

– Part 2: Video, High Efficiency Video Coding (HEVC)

Highly immersive visual experiences, with ultra high definitiondisplays that give no perceptible pixel structure even ifviewed from such a short distance that they subtend a largeviewing angle (up to 55 degrees horizontally for 4Kx2Kresolution displays, up to 100 degrees for 8Kx4K)

– Part 3: Audio, 3D-AudioHighly immersive audio experiences in which the decodingdevice renders a 3D audio scene. This may be using 10.2 or22.2 channel configurations or much more limited speakerconfigurations or headphones, such as found in a personaltablet or smartphone.

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HEVC…

• Transport/System Layer Integration

– On going definitions (MPEG, IETF,…,DVB): benefit from H.264/AVC

– MPEG Media Transport (MMT) ?

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HEVC…

• HEVC = High Efficiency Video Coding

• Joint project between ISO/IEC/MPEG and ITU-T/VCEG

– ISO/IEC: MPEG-H Part 2 (23008-2)

– ITU-T: H.265

• JCT-VC committee

– Joint Collaborative Team on Video Coding

– Co-chairs: Dr. Gary Sullivan (Microsoft, USA) and Dr. Jens-Reiner Ohm (RWTH Aachen, Germany)

• Target

– Roughly half the bit-rate at the same subjective quality compared to H.264/AVC (50% over H.264/AVC)

– x10 complexity max for encoder and x2/3 max for decoder

• Requirements

– Progressive required for all profiles and levels

Interlaced support using field SEI message

– Video resolution: sub QVGA to 8Kx4K, with more focus on higher resolution video content (1080p and up)

– Color space and chroma sampling: YUV420, YUV422, YUV444, RGB444

– Bit-depth: 8-14 bits

– Parallel Processing Architecture

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HEVC…

• H.264 Vs H.265

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HEVC…

• Potential applications

– Existing applications and usage scenarios

IPTV over DSL : Large shift in IPTV eligibility

Facilitated deployment of OTT and multi-screen services

More customers on the same infrastructure: most IP traffic is video

More archiving facilities

– Existing applications and usage scenarios

1080p60/50 with bitrates comparable to 1080i

Immersive viewing experience: Ultra-HD (4K, 8K)

Premium services (sports, live music, live events,…): home theater, Bars venue, mobile

HD 3DTV Full frame per view at today’s HD delivery rates

What becomes possible with 50% video rate reduction?

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HEVC…

• Tentative Timeline

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HEVC…

• History

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HEVC…

• H.264 Vs H.265

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HEVC…

• H.264 Vs H.265

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HEVC…

• HEVC Encoder

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HEVC…

• HEVC Decoder

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HEVC…

• Video Coding Techniques : Block-based hybrid video coding

– Interpicture prediction

Temporal statistical dependences

– Intrapicture prediction

Spatial statistical dependences

– Transform coding

Spatial statistical dependences

• Uses YCbCr color space with 4:2:0 subsampling

– Y component

Luminance (luma)

Represents brightness (gray level)

– Cb and Cr components

Chrominance (chroma).

Color difference from gray toward blue and red

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HEVC…

• Video Coding Techniques : Block-based hybrid video coding

– Motion compensation

Quarter-sample precision is used for the MVs

7-tap or 8-tap filters are used for interpolation of fractional-sample positions

– Intrapicture prediction

33 directional modes, planar (surface fitting), DC (flat)

Modes are encoded by deriving most probable modes (MPMs) based on those of previously decoded neighboring PBs

– Quantization control

Uniform reconstruction quantization (URQ)

– Entropy coding

Context adaptive binary arithmetic coding (CABAC)

– In-Loop deblocking filtering

Similar to the one in H.264 and More friendly to parallel processing

– Sample adaptive offset (SAO)

Nonlinear amplitude mapping

For better reconstruction of amplitude by histogram analysis

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HEVC…

• Coding Tree Unit (CTU) - A picture is partitioned into CTUs

– The CTU is the basic processing unit instead of Macro Blocks (MB)

– Contains luma CTBs and chroma CTBs

A luma CTB covers L × L samples

Two chroma CTBs cover each L/2 × L/2 samples

– HEVC supports variable-size CTBs

The value of L may be equal to 16, 32, or 64.

Selected according to needs of encoders - In terms of memory and computational requirements

Large CTB is beneficial when encoding high-resolution video content

– CTBs can be used as CBs or can be partitioned into multiple CBs using quadtree structures

– The quadtree splitting process can be iterated until the size for a lumaCB reaches a minimum allowed luma CB size (8 × 8 or larger).

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HEVC…

• Block Structure

– Coding Tree Units (CTU)

Corresponds to macroblocks in earlier coding standards (H.264, MPEG2, etc)

Luma and chroma Coding Tree Blocks (CTB)

Quadtree structure to split into Coding Units (CUs)

16x16, 32x32, or 64x64, signaled in SPS

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HEVC…

• A new framework composed of threenew concepts

– Coding Units (CU)

– Prediction Units (PU)

– Transform Units (TU)

• The decision whether to code apicture area using inter or intraprediction is made at the CU level

Goal: To be as flexible as possible and to adapt the

compression-prediction to image peculiarities

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HEVC…

• Block Structure

– Coding Units (CU)

Luma and chroma Coding Blocks (CB)

Rooted in CTU

Intra or inter coding mode

Split into Prediction Units (PUs) and Transform Units (TUs)

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HEVC…

• Block Structure

– Prediction Units (PU)

Luma and chroma Prediction Blocks (PB)

Rooted in CU

Partition and motion info

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HEVC…

• Block Structure

– Transform Units (TU)

Rooted in CU

4x4, 8x8, 16x16, 32x32 DCT, and 4x4 DST

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HEVC…

• Relationship of CU, PU and TU

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HEVC…

• Intra Prediction

– 35 intra modes: 33 directional modes +DC + planar

– For chroma, 5 intra modes: DC, planar,vertical, horizontal, and luma derived

– Planar prediction (Intra_Planar)

Amplitude surface with a horizontal andvertical slope derived from boundaries

– DC prediction (Intra_DC)

Flat surface with a value matching themean value of the boundary samples

– Directional prediction (Intra_Angular)

33 different directional prediction isdefined for square TB sizes from 4×4 upto 32×32

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HEVC…

• Intra Prediction

– Adaptive reference sample filtering

3-tap filter: [1 2 1]/4

Not performed for 4x4 blocks

For larger than 4x4 blocks, adaptively performed for a subset of modes

Modes except vertical/near-vertical, horizontal/near-horizontal, and DC

– Mode dependent adaptive scanning

4x4 and 8x8 intra blocks only

All other blocks use only diagonal upright scan (left-most scan pattern)

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HEVC…

• Intra Prediction

– Boundary smoothing

Applied to DC, vertical, and horizontal modes, luma only

Reduces boundary discontinuity

– For DC mode, 1st column and row of samples in predicted block are filtered

– For Hor/Ver mode, first column/row of pixels in predicted block are filtered

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HEVC…

• Inter Prediction

– Fractional sample interpolation

¼ pixel precision for luma

– DCT based interpolation filters

8-/7- tap for luma

4-tap for chroma

Supports 16-bit implementation with non-normative shift

– High precision interpolation and biprediction

– DCT-IF design

Forward DCT, followed by inverse DCT

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HEVC…

• Inter Prediction

– Asymmetric Motion Partition (AMP) for Inter PU

– Merge

Derive motion (MV and ref pic) from spatial andtemporal neighbors

Which spatial/temporal neighbor is identified bymerge_idx

Number of merge candidates (≤ 5) signaled in sliceheader

Skip mode = merge mode + no residual

– Advanced Motion Vector Prediction (AMVP)

Use spatial/temporal PUs to predict current MV

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HEVC…

• Transforms

– Core transforms: DCT based

4x4, 8x8, 16x16, and 32x32

Square transforms only

Support partial factorization

Near-orthogonal

Nested transforms

– Alternative 4x4 DST

4x4 intra blocks, luma only

– Transform skipping mode

By-pass the transform stage

Most effective on “screen content”

4x4 TBs only

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HEVC…

• Scaling and Quantization

– HEVC uses a uniform reconstruction quantization (URQ)scheme controlled by a quantization parameter (QP).

– The range of the QP values is defined from 0 to 51

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HEVC…

• Entropy Coding

– One entropy coder, CABAC

Reuse H.264 CABAC core algorithm

More friendly to software and hardwareimplementations

Easier to parallelize, reduced HW area, increasedthroughput

– Context modeling

Reduced # of contexts

Increased use of by-pass bins

Reduced data dependency

– Coefficient coding

Adaptive coefficient scanning for intra 4x4 and 8x8

▫ Diagonal upright, horizontal, vertical

Processed in 4x4 blocks for all TU sizes

Sign data hiding:

▫ Sign of first non-zero coefficient conditionally hidden inthe parity of the sum of the non-zero coefficientmagnitudes

▫ Conditions: 2 or more non-zero coefficients, and“distance” between first and last coefficient > 3

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HEVC…

• Entropy Coding - CABAC– Binarization: CABAC uses Binary Arithmetic Coding which means that only binary decisions (1 or

0) are encoded. A non-binary-valued symbol (e.g. a transform coefficient or motion vector) is"binarized" or converted into a binary code prior to arithmetic coding. This process is similar to theprocess of converting a data symbol into a variable length code but the binary code is furtherencoded (by the arithmetic coder) prior to transmission.

– Stages are repeated for each bit (or "bin") of the binarized symbol.

– Context model selection: A "context model" is a probability model for one or more bins of thebinarized symbol. This model may be chosen from a selection of available models depending onthe statistics of recently coded data symbols. The context model stores the probability of each binbeing "1" or "0".

– Arithmetic encoding: An arithmetic coder encodes each bin according to the selected probabilitymodel. Note that there are just two sub-ranges for each bin (corresponding to "0" and "1").

– Probability update: The selected context model is updated based on the actual coded value (e.g. ifthe bin value was "1", the frequency count of "1"s is increased)

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HEVC…

• Parallel Processing Tools

– Slices

– Tiles

– Wavefront parallel processing (WPP)

– Dependent Slices

• Slices

– Slices are a sequence of CTUs that are processed in the orderof a raster scan. Slices are self-contained and independent

– Each slice is encapsulated in a separate packet

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HEVC…

• Tile

– Self-contained and independently decodable rectangular regions

– Tiles provide parallelism at a coarse level of granularity

Tiles more than the cores Not efficient Breaks dependencies

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HEVC…

• WPP

– A slice is divided into rows of CTUs. Parallel processing of rows

– The decoding of each row can be begun as soon a few decisions havebeen made in the preceding row for the adaptation of the entropy coder.

– Better compression than tiles. Parallel processing at a fine level ofgranularity.

No WPP with tiles !!

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HEVC…

• Dependent Slices

– Separate NAL units but dependent (Can only be decoded after part ofthe previous slice)

– Dependent slices are mainly useful for ultra low delay applicationsRemote Surgery

– Error resiliency gets worst

– Low delay

– Good Efficiency Goes well with WPP

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HEVC…

• Slice Vs Tile

– Tiles are kind of zero overhead slices

Slice header is sent at every slice but tile information once for a sequence

Slices have packet headers too

Each tile can contain a number of slices and vice versa

– Slices are for :

Controlling packet sizes

Error resiliency

– Tiles are for:

Controlling parallelism (multiple core architecture)

Defining ROI regions

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HEVC…

• Tile Vs WPP

– WPP

Better compression than tiles

Parallel processing at a fine level of granularity

But …

Needs frequent communication between processing units

If high number of cores Can’t get full utilization

– Good for when

Relatively small number of nodes

Good inter core communication

No need to match to MTU size

Big enough shared cache

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HEVC…

• In-Loop Filters

– Two processing steps, a deblocking filter (DBF) followed by ansample adaptive offset (SAO) filter, are applied to thereconstructed samples

The DBF is intended to reduce the blocking artifacts due to block-based coding

The DBF is only applied to the samples located at blockboundaries

The SAO filter is applied adaptively to all samples satisfyingcertain conditions. e.g. based on gradient.

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HEVC…

• Loop Filters: Deblocking

– Applied to all samples adjacent to a PU or TU boundary

Except the case when the boundary is also a picture boundary, orwhen deblocking is disabled across slice or tile boundaries

– HEVC only applies the deblocking filter to the edge that arealigned on an 8×8 sample grid

This restriction reduces the worst-case computational complexitywithout noticeable degradation of the visual quality

It also improves parallel-processing operation

– The processing order of the deblocking filter is defined ashorizontal filtering for vertical edges for the entire picture first,followed by vertical filtering for horizontal edges.

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HEVC…

• Loop Filters: Deblocking

– Simpler deblocking filter in HEVC (vs H.264 )

– Deblocking filter boundary strength is set according to

Block coding mode

Existence of non zero coefficients

Motion vector difference

Reference picture difference

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HEVC…

• Loop Filters: SAO

– A process that modifies the decodedsamples by conditionally adding anoffset value to each sample after theapplication of the deblocking filter,based on values in look-up tablestransmitted by the encoder.

– SAO: Sample Adaptive Offsets

New loop filter in HEVC

Non-linear filter

– For each CTB, signal SAO type andparameters

– Encoder decides SAO type andestimates SAO parameters (rate-distortion opt.)

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HEVC…

• Special Coding– I_PCM mode

The prediction, transform, quantization and entropy coding are bypassed

The samples are directly represented by a pre-defined number of bits

Main purpose is to avoid excessive consumption of bits when the signalcharacteristics are extremely unusual and cannot be properly handled by hybridcoding

– Lossless mode

The transform, quantization, and other processing that affects the decoded pictureare bypassed

The residual signal from inter- or intrapicture prediction is directly fed into theentropy coder

It allows mathematically lossless reconstruction

SAO and deblocking filtering are not applied to this regions

– Transform skipping mode

Only the transform is bypassed

Improves compression for certain types of video content such as computer-generated images or graphics mixed with camera-view content

Can be applied to TBs of 4×4 size only

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HEVC…

• High Level Parallelism

– Independently decodable packets

– Sequence of CTUs in raster scan

– Error resilience

– Parallelization

– Independently decodable (re-entry)

– Rectangular region of CTUs

– Parallelization (esp. encoder)

– 1 slice = more tiles, or 1 tile = more slices

– Rows of CTUs

– Decoding of each row can be parallelized

– Shaded CTU can start when gray CTUs inrow above are finished

– Main profile does not allow tiles + WPPcombination

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HEVC…

• Profiles, Levels and Tiers– Historically, profile defines collection of coding

tools, whereas Level constrains decoderprocessing load and memory requirements

– The first version of HEVC defined 3 profiles

Main Profile: 8-bit video in YUV4:2:0 format

Main 10 Profile: same as Main, up to 10-bit

Main Still Picture Profile: same as Main, onepicture only

– Levels and Tiers

Levels: max sample rate, max picture size,max bit rate, DPB and CPB size, etc

Tiers: “main tier” and “high tier” within onelevel

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HEVC…

• Complexity Analysis

– Software-based HEVC decoder capabilities (published by NTT Docomo)

Single-threaded: 1080p@30 on ARMv7 (1.3GHz),1080p@60 decoding on i5 (2.53GHz)

Multi-threaded: 4Kx2K@60 on i7 (2.7GHz), 12Mbps, decoding speed up to 100fps

– Other independent software-based HEVC real-time decoder implementations published by Samsung and Qualcomm during HEVC development

– Decoder complexity not substantially higher

More complex modules: MC, Transform, Intra Pred, SAO

Simpler modules: CABAC and deblocking

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HEVC…

• Quality Performance

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