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VE-Match: Video Encoding Matching-based Model for Cloud and Edge Computing Instances
The considerable surge in energy consumption within data centers can be attributed to the exponential rise in demand for complex computing workflows and storage resources. Video streaming applications are both compute and storage-intensive and account ...
Studying Green Video Distribution as a Whole
This paper highlights the current trends and the necessary research directions for achieving carbon-effective streaming services. Collaboration between the end-to-end delivery pipeline vendors is encouraged to design standards and technologies.
End-to-end Optimizations for Green Streaming
Video streaming is a widely used and energy-demanding online service, which contributes to CO2 emissions and environmental issues. In this paper, we investigate the technological feasibility and benefits of green streaming technologies, which aim to ...
Audience Aware Streaming: New Dynamics in OTT distribution
Current OTT linear deployments are rather static infrastructures. The setup can be altered occasionally by an operator manipulation, based on anticipated audience or events. In this article, several real time optimizations are presented to decrease ...
Green video complexity analysis for efficient encoding in Adaptive Video Streaming
For adaptive streaming applications, low-complexity and accurate video complexity features are necessary to analyze the video content in real time, which ensures fast and compression-efficient video streaming without disruptions. State-of-the-art ...
Energy Efficiency Improvements in Software-Based Video Encoding
In this paper, we discuss the evolution in energy efficiency for software-based encoding on general-purpose processors, along with recent trends that enable increasingly power-efficient video encoding. We provide an overview of different contributing ...
Video Decoding Energy Reduction Using Temporal-Domain Filtering
In this paper, we study decoding energy reduction opportunities using temporal-domain filtering and subsampling methods. In particular, we study spatiotemporal filtering using a contrast sensitivity function and temporal downscaling, i.e., frame rate ...
The analysis of DASH manifest optimizations
In live video streaming, the size of Dynamic Adaptive Streaming over HTTP (DASH) manifest grows as the number of periods increases and/or the overall time duration of DASH manifest increases. The bigger the manifest size in bytes is, the more ...
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Acceptance Rates
Year | Submitted | Accepted | Rate |
---|---|---|---|
GMSys '23 | 12 | 8 | 67% |
Overall | 12 | 8 | 67% |