WAY OF VIDEO CONTENT QUALITY IMPROVEMENT ON CRITERIA OF RESULTING IMAGE QUALITY

  • Валентин Георгиевич Абакумов National Technical University of Ukraine "Kiev Polytechnic Institute"
  • Павел Васильевич Попович National Technical University of Ukraine "Kiev Polytechnic Institute"

Abstract

A method is proposed to improve the video content quality using the criteria of the resulting image quality as measured by objective indexes. The method is based on the application in the process of TV programs production of video content quality control and managementsystem, whichuses videotranscoder that changes the bit rate of the video stream in accordance with the quality measurement of the transmitted video.
Proposed to use close loop videotranscoder consisting of a decoder, encoder and the objective quality analysis and bit rate control unit. As an objective quality measure the metrics MSSSIM (Multi-Scale Structure Similarity Index Measure)is applied, which is most consistent with the human subjective perception as it takes into account the changes in the brightness and contrast of the image.
In videotranscoder,proposed to classify video pictures on their content based on the measured objective qualityindexes. Nine classes of video sequences added, which assigned to the corresponding control function obtained by fitting the experimental quality assessments of test video sequences using a logarithmic function.
The expression obtained to determine quantization factor to change the bit rate of the video sequence that leads to a change in the quality of the transmitted video.

Author Biographies

Валентин Георгиевич Абакумов, National Technical University of Ukraine "Kiev Polytechnic Institute"

doctor of technical sciences, professor

Павел Васильевич Попович, National Technical University of Ukraine "Kiev Polytechnic Institute"
Assistant
Published
2019-02-28
How to Cite
Абакумов, В., & Попович, П. (2019). WAY OF VIDEO CONTENT QUALITY IMPROVEMENT ON CRITERIA OF RESULTING IMAGE QUALITY. Electrotechnic and Computer Systems, (17(93), 74-79. Retrieved from https://eltecs.opu.ua/index.php/journal/article/view/1556
Section
Artificial Intellect Systems

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