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v1.2.0
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@li-zhi li-zhi released this 22 Feb 07:29
· 1602 commits to master since this release
v1.2.0
6657d17

New features

  • Updated VMAF algorithm to v0.6.1, including:
    • Added a custom model for cellular phone screen viewing
    • Trained using new dataset, covering more difficult content
    • Elementary metric fixes: ADM behavior at near-black frames, motion behavior at scene boundaries
    • Compressed quality score range by 20% to accommodate higher dynamic range
    • Use MLE instead of DMOS as subjective model
  • Added command line ffmpeg2vmaf, which takes encoded videos (instead of raw YUV) as input.
  • Allow specifying crop and pad parameter in dataset files.
  • Speeded up VMAF convolution operation by AVX.
  • Added Travis continuous integration.
  • Add implementation of KFLK - quality metric evaluation method based on AUC. Refer to: L. Krasula, K. Fliegel, P. Le Callet, M.Klima, "On the accuracy of objective image and video quality models: New methodology for performance evaluation", QoMEX 2016.
  • Add options to use custom subjective models in run_vmaf_training and run_testing commands.

Bug fixes

  • Revamped process-level parallelization for Executor.
  • Fixed vmafossexec memory leakage.
  • Fixed command line run_testing issue. Add command line test cases.
  • Fixed a bug in DatasetReader.to_aggregated_dataset_file.
  • Issue #36: SSIM and MS-SSIM sometimes get negative values.
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