Author:  Shevach Riabtsev

About                                                                                                                                   

Use Case – Analysis of HEVC stream                                                                        

Use Case – Analysis of AV1 stream                                                                           

About

VQ Analyzer is a product of ViCueSoft company. VQ Analyzer supports a range of video video standards: Mpeg2, H.264/AVC, H.265/HEVC, AOM AV1, VVC .

This tool is friendly and intuitive and can be useful for both codec developers and beginners.

Use Case – Analysis of HEVC stream

Picture Analysis

For each picture the following statistics is reported in either numeric or graphics form:

Selected parameters:

  • “Bins per bit” is an indication of CABAC effectiveness, the higher “Bins per bit”, the higher the compression ratio of CABAC.
  • “Bypass ratio” is percent bins coded with the fixed probability model (0.5,0.5). Such coding is fast but the compression ratio is 1:1.
  • “Bits per pixel” is a reciprocal of compression ratio

For each picture a Pie Distribution (in %) of Inter/Intra/Skip blocks is also available:

deblock filter strengths:

TU sizes distribution:

Distribution of motion vectors (x-coordinates versus y-coordinates):

In case of panning the distribution of motion vectors is skewed:

Besides picture statistics CU partitions is presented, CU partitions is useful in tuning of CU depth prediction mechansim:

Motion vectors can be added as overlay:

Comparison of two Streams

This is one of the amazing features of VQ Analyzer.

Let’s suppose you slightly changed a heuristic rule for decision on CU partition and wish to know whether the new rule is effective and under what circumstances. Use Dependent Bitstream option:

The left is the reference, the right it the modificated version:

In more extended form:

Here we can see that number of skips is less in the modified version.

CU-Level Analysis

For selected CU you can view the whole its syntax:

Use Case – Analysis of AV1 stream

Frame statistics

The distribution of block sizes and transform sizes demonstrates level of homogeneity of a frame (larger blocks tend to be selected for homogenous frames):

Distribution of transform types can reveal dominant texture patterns, the distribution of Inter Prediction types reveals exploitation of temporal and spatial redundancy.

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