A Low-Complexity Metric for the Estimation of Perceived Chrominance Sub-Sampling Errors in Screen Content Images

Heindel A, Wige E, Fleckenstein F, Prestele B, Gehlert A, Kaup A (2017)

Publication Language: English

Publication Type: Conference contribution, Conference Contribution

Publication year: 2017

Event location: Beijing CN

DOI: 10.1109/ICIP.2017.8296878

Abstract

In web conferencing and remote desktop applications screen sharing is a popular feature. Due to the limited data rate, image and video compression technologies are used to enable this functionality over the internet. However, the commonly used basic profiles of modern video codecs typically utilize the YCbCr color space involving 4:2:0 chrominance sub-sampling. This sub-sampling introduces visually disturbing artifacts for screen content, which may be avoided or reduced if they could be automatically detected. However, these artifacts are shown to be hardly captured by conventional image quality metrics. To address this problem, we developed the Perceived Chrominance Sub-sampling Error (PCSE) metric. Moreover, we created a subjectively evaluated screen content image data set, which is employed for the performance evaluation. The PCSE achieves absolute correlation coefficient values of almost 0.8. Thus, conventional quality metrics are significantly outperformed.

Authors with CRIS profile

Andreas Heindel Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Eugen Wige Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Andre Kaup Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS)

Involved external institutions

LogMeIn, GetGo Germany GmbH DE Germany (DE)

How to cite

APA:

Heindel, A., Wige, E., Fleckenstein, F., Prestele, B., Gehlert, A., & Kaup, A. (2017). A Low-Complexity Metric for the Estimation of Perceived Chrominance Sub-Sampling Errors in Screen Content Images. In Proceedings of the IEEE Int. Conf. on Image Processing (ICIP). Beijing, CN.

MLA:

Heindel, Andreas, et al. "A Low-Complexity Metric for the Estimation of Perceived Chrominance Sub-Sampling Errors in Screen Content Images." Proceedings of the IEEE Int. Conf. on Image Processing (ICIP), Beijing 2017.

BibTeX: Download