Quantitative quality assessment of video sequences A human-based approach

Most of the current quality assessment techniques interpret an image quality as a measure of its fidelity with another reference image, assuming the availability of that "perfect" image. It has been the concern of many researchers around the world to algorithmically assess the quality of i...

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Bibliographic Details
Published in2007 6th International Conference on Information, Communications & Signal Processing pp. 1 - 5
Main Authors Al-Najdawi, A., Kalawsky, R.S.
Format Conference Proceeding
LanguageEnglish
Published IEEE 01.12.2007
Subjects
Current measurement
Humans
image and video compression
Image coding
Image quality
Image sequences
Quality assessment
Remotely operated vehicles
subjective and objective quality measures
Video compression
Video sequences
Visual perception
visual quality assessment
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Summary:Most of the current quality assessment techniques interpret an image quality as a measure of its fidelity with another reference image, assuming the availability of that "perfect" image. It has been the concern of many researchers around the world to algorithmically assess the quality of image sequences based on human visual perception. This paper presents a novel technique for quantitatively assessing the quality of image sequences without the need for a reference image and in a way that precisely correlates to human judgement on quality. This research is a part of a larger framework that incorporates multi-objective optimisation algorithms to optimise the quality metrics of compressed videos acquired by autonomous vehicles and transmitted over low-bandwidth communication channels. Our system was trained on a dataset that involved 700 videos of 5 different categories. We validate the performance of our model and show that it highly correlates to the human subjective quality assessment.
ISBN:1424409829
9781424409822
DOI:10.1109/ICICS.2007.4449875