Distributed adaptation decision-taking framework and Scalable Video Coding tunneling for edge and in-network media adaptation
| Autor: | Michael Grafl, George Xilouris, Alex Chernilov, Christian Timmerer, Stefano Battista, Markus Waltl, Daniele Renzi, Nikolaos Zotos |
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| Rok vydání: | 2012 |
| Předmět: |
Multimedia
In-network adaptation Computer science End user Quality of service 020206 networking & telecommunications Network media Context (language use) 02 engineering and technology Transcoding computer.software_genre Scalable Video Coding Distributed adaptation decision-taking SVC tunneling 0202 electrical engineering electronic engineering information engineering Key (cryptography) Content-aware networking 020201 artificial intelligence & image processing Enhanced Data Rates for GSM Evolution Adaptation (computer science) computer |
| Zdroj: | TEMU |
| Popis: | Existing and future media ecosystems need to cope with the ever-increasing heterogeneity of networks, devices, and user characteristics collectively referred to as (usage) context. The key to address this problem is media adaptation to various and dynamically changing contexts in order to provide a service quality that is regarded as satisfactory by the end user. The adaptation can be performed in many ways and at different locations, e.g., at the edge and within the network resulting in a substantial number of issues to be integrated within a media ecosystem. This paper describes research challenges, key innovations, target research outcomes, and achievements so far for edge and in-network media adaptation by introducing the concept of Scalable Video Coding (SVC) tunneling. |
| Databáze: | OpenAIRE |
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