IEEE transactions on broadcasting special issue on: 5G media production, contribution, and distribution
D Gomez-Barquero, JJ Gimenez… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
The media landscape is undergoing unprecedented transformations. Content creators and
service providers had been for decades in control of how technology tailored to media …
service providers had been for decades in control of how technology tailored to media …
Dig: A data-driven impact-based grouping method for video rebuffering optimization
Rebuffering is known to be the dominant metric that affects the user experience of video
streaming applications. In this paper, we propose a data-driven impact-based grouping …
streaming applications. In this paper, we propose a data-driven impact-based grouping …
Pre-emptive Caching of Video Content Using Predictive Analysis
Pre-emptive caching is a technique to pre-fetch data based on the outcome of algorithmic
predictions. In this paper, we use machine learning models that account for time-based …
predictions. In this paper, we use machine learning models that account for time-based …
Модель прогнозирования Интернет-трафика
СЛ Френкель, ВН Захаров - Искусственный интеллект и принятие …, 2022 - mathnet.ru
Многие современные средcтва Машинного обучения (МО) работают недостаточно
эффективно, ввиду выраженной нелинейности изменения трафика и …
эффективно, ввиду выраженной нелинейности изменения трафика и …
Preliminary Study of Cache Exchange Improvement based on RaptorQ and Tsunami
CH Lee, YL Li - 2022 IET International Conference on …, 2022 - ieeexplore.ieee.org
Not only live video but also on-demand video have become essential parts of our daily life.
In order to improve video transmission quality, Content Delivery Network (CDN) is utilized to …
In order to improve video transmission quality, Content Delivery Network (CDN) is utilized to …