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Found 10 papers, 2 papers with code
Rate-Quality or Energy-Quality Pareto Fronts for Adaptive Video Streaming?
Adaptive video streaming is a key enabler for optimising the delivery of offline encoded video content.
Comparative Study of Hardware and Software Power Measurements in Video Compression
The environmental impact of video streaming services has been discussed as part of the strategies towards sustainable information and communication technologies.
UGC Quality Assessment: Exploring the Impact of Saliency in Deep Feature-Based Quality Assessment
Preliminary results indicate that high correlations are achieved by using only deep features while adding saliency is not always boosting the performance.
Subjective assessment of the impact of a content adaptive optimiser for compressing 4K HDR content with AV1
Since 2015 video dimensionality has expanded to higher spatial and temporal resolutions and a wider colour gamut.
Comparison of HDR quality metrics in Per-Clip Lagrangian multiplier optimisation with AV1
The complexity of modern codecs along with the increased need of delivering high-quality videos at low bitrates has reinforced the idea of a per-clip tailoring of parameters for optimised rate-distortion performance.
Energy-Rate-Quality Tradeoffs of State-of-the-Art Video Codecs
The adoption of video conferencing and video communication services, accelerated by COVID-19, has driven a rapid increase in video data traffic.
Direct Optimisation of $\boldsymbolλ$ for HDR Content Adaptive Transcoding in AV1
Since the adoption of VP9 by Netflix in 2016, royalty-free coding standards continued to gain prominence through the activities of the AOMedia consortium.
A CNN-based Post-Processor for Perceptually-Optimized Immersive Media Compression
In recent years, resolution adaptation based on deep neural networks has enabled significant performance gains for conventional (2D) video codecs.
Enhancing VMAF through New Feature Integration and Model Combination
VMAF is a machine learning based video quality assessment method, originally designed for streaming applications, which combines multiple quality metrics and video features through SVM regression.
Encoding in the Dark Grand Challenge: An Overview
In this paper, we present an overview of the proposed challenge, and test state-of-the-art methods that will be part of the benchmark methods at the stage of the participants' deliverable assessment.
