Nabajeet Barman

TL;DR: A comprehensive overview of recent and currently undergoing works in the field of QoE modeling for HTTP adaptive streaming is presented, as well as existing challenges and shortcomings.

TL;DR: In this article, the authors provide a comprehensive survey of QoE management solutions in current and future networks, and present a list of identified future QOE management challenges regarding emerging multimedia applications, network management and orchestration.

TL;DR: Two NR machine learning-based quality estimation models for gaming video streaming, NR-GVSQI, and NR-gVSQE, are presented and it is shown that the proposed models outperform the current state-of-the-art no-reference metrics, while also reaching a prediction accuracy comparable to the best known full reference metric.

TL;DR: In this article, the performance of objective video quality assessment metrics for gaming videos considering passive streaming applications is evaluated on a dataset of 24 reference videos and 576 compressed sequences obtained by encoding them at 24 different resolution-bitrate pairs.

TL;DR: This paper provides a tutorial and a comprehensive survey of QoE management solutions in current and future networks, and provides a survey of the state-of-the-art of QeE management techniques categorized into three different groups.