Welcome to QualityLIB!ΒΆ

QualityLIB is a library that simplifies running quality assessment experiments on video datasets in Python. QualityLIB library interfaces with the VideoLIB package to provide an easy API that simplifies quality assessment research tasks such as

  1. Specifying and reading datasets of videos, conforming to various ITU standards.

  2. Standardizing the implementation of quality models using the FeatureExtractor class.

  3. Simplifying the execution of feature extraction over datasets using the Runner class.

  4. Standardizing the results of quality modeling using the Result class.

  5. Easy interfacing with Scikit-Learn regressor models for routines such as cross_validation.