A Novel Quality Metric Using Spatiotemporal Correlational Data of Human Eye Maneuver

Pallab Podder, Manoranjan Paul, Manzur Murshed

Research output: Book chapter/Published conference paperConference paper

1 Citation (Scopus)

Abstract

The popularly used subjective estimator - mean opinion score (MOS) is often biased by the testing environment, viewers mode, domain expertise, and many other factors that may actively influence on actual assessment. We therefore, devise a no-reference subjective quality assessment metric by exploiting the nature of human eye browsing on videos. The participants’ eye-tracker recorded gaze-data indicate more concentrated eye traversing approach for relatively better quality. We calculate the Length, Angle, Pupil-size, and Gaze-duration features from the recorded gaze trajectory. The content and resolution invariant operation is carried out prior to synthesizing them using an adaptive weighted function to develop a new quality metric using eye traversal (QMET). Tested results reveal that the quality evaluation carried out by QMET demonstrates a strong correlation with the most widely used peak signal-to-noise ratio (PSNR), structural similarity index (SSIM), and the MOS.
Original languageEnglish
Title of host publicationProceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications
Place of PublicationUnited States
PublisherIEEE, Institute of Electrical and Electronics Engineers
Pages1-8
Number of pages8
ISBN (Electronic)9781538628393
ISBN (Print)9781538628409
DOIs
Publication statusPublished - 21 Dec 2017
Event2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA) - Novotel Sydney Manly Pacific, Sydney, Australia
Duration: 29 Nov 201701 Dec 2017
http://dicta2017.dictaconference.org/index.html (Conference website)
http://ieeexplore.ieee.org/xpl/mostRecentIssue.jsp?punumber=8226656 (Conference proceedings)

Conference

Conference2017 International Conference on Digital Image Computing: Techniques and Applications (DICTA)
CountryAustralia
CitySydney
Period29/11/1701/12/17
OtherThe International Conference on Digital Image Computing: Techniques and Applications (DICTA) is the main Australian Conference on computer vision, image processing, pattern recognition, and related areas. DICTA was established in 1991 as the premier conference of the Australian Pattern Recognition Society (APRS).
Internet address

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    Podder, P., Paul, M., & Murshed, M. (2017). A Novel Quality Metric Using Spatiotemporal Correlational Data of Human Eye Maneuver. In Proceedings of the 2017 International Conference on Digital Image Computing: Techniques and Applications (pp. 1-8). IEEE, Institute of Electrical and Electronics Engineers. https://doi.org/10.1109/DICTA.2017.8227396