Assessing Visibility of Individual Transmission Errors in Networked Video

Jari Korhonen, Claire Mantel

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

Abstract

Traditionally, subjective video quality is assessed by user experiments involving quality ratings, pairwise comparisons, or rank ordering, based on the overall impression of quality. Less attention has been paid on assessing the visibility of individual defects. However, many practical applications could benefit from information about subjective visibility of individual packet losses; for example, computational resources could be directed more efficiently to unequal error protection and concealment by focusing in the visually most disturbing artifacts. In this paper, we present a novel subjective methodology for packet loss artifact detection by tapping a touchscreen where a defect is observed. To validate the proposed methodology, the results of a pilot study are presented and analyzed. According to the results, the proposed method can be used to derive qualitatively and statistically meaningful data on the subjective visibility of individual packet loss artifacts.
Original languageEnglish
Title of host publicationElectronic Imaging, Human Vision and Electronic Imaging 2016
Number of pages8
Publication date2016
DOIs
Publication statusPublished - 2016
EventIS&T International Symposium on Electronic Imaging 2016: Image Quality and System Performance XIII - San Francisco, California, United States
Duration: 14 Feb 201618 Feb 2016

Conference

ConferenceIS&T International Symposium on Electronic Imaging 2016
CountryUnited States
CitySan Francisco, California
Period14/02/201618/02/2016

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