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您的检索式：作者名="Christian Timmerer"
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| 1 | Digital item adaptation:overview of standardization and research activities显示文摘 | Anthony Vetro Christian Timmerer | 2005 | IEEE Transactions on Multimedia2005，7，3： | 1 |
| 2 | FSpot:Fast and Efficient Video Encoding Workloads Over Amazon Spot Instances显示文摘HTTP Adaptive Streaming(HAS)of video content is becoming an undivided part of the Internet and accounts for most of today’s network traffic.Video compression technology plays a vital role in efficiently utilizing network channels,but encoding videos into multiple representations with selected encoding parameters is a significant challenge.However,video encoding is a computationally intensive and time-consuming operation that requires high-performance resources provided by on-premise infrastructures or public clouds.In turn,the public clouds,such as Amazon elastic compute cloud(EC2),provide hundreds of computing instances optimized for different purposes and clients’budgets.Thus,there is a need for algorithms and methods for optimized computing instance selection for specific tasks such as video encoding and transcoding operations.Additionally,the encoding speed directly depends on the selected encoding parameters and the complexity characteristics of video content.In this paper,we first benchmarked the video encoding performance of Amazon EC2 spot instances using multiple×264 codec encoding parameters and video sequences of varying complexity.Then,we proposed a novel fast approach to optimize Amazon EC2 spot instances and minimize video encoding costs.Furthermore,we evaluated how the optimized selection of EC2 spot instances can affect the encoding cost.The results show that our approach,on average,can reduce the encoding costs by at least 15.8%and up to 47.8%when compared to a random selection of EC2 spot instances. | Anatoliy Zabrovskiy Prateek Agrawal Vladislav Kashansky Roland Kersche Christian Timmerer Radu Prodan | 2022 | Computers, Materials & Continua2022，，6： | 0 |
| 3 | Automating QoS and QoE Evaluation of HTTP Adaptive Streaming Systems显示文摘Streaming audio and video content currently accounts for the majority of the Internet traffic and is typically deployed over the top of the existing infrastructure. We are facing the challenge of a plethora of media players and adaptation algorithms showing different behavior but lacking a common framework for both objective and subjective evaluation of such systems. This paper aims to close this gap by proposing such a framework, describing its architecture, providing an example evaluation, and discussing open issues. | Christian Timmerer Anatoliy Zabrovskiy | 2019 | ZTE Communications2019，17，1： | 0 |
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