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Found 9 papers, 2 papers with code
Encoder-Quantization-Motion-based Video Quality Metrics
In this work we merge several datasets into one to support the creation of a metric tailored for video compression and scaling.
HDR or SDR? A Subjective and Objective Study of Scaled and Compressed Videos
We conducted a large-scale study of human perceptual quality judgments of High Dynamic Range (HDR) and Standard Dynamic Range (SDR) videos subjected to scaling and compression levels and viewed on three different display devices.
HDR-ChipQA: No-Reference Quality Assessment on High Dynamic Range Videos
We present a no-reference video quality model and algorithm that delivers standout performance for High Dynamic Range (HDR) videos, which we call HDR-ChipQA.
Making Video Quality Assessment Models Robust to Bit Depth
We introduce a novel feature set, which we call HDRMAX features, that when included into Video Quality Assessment (VQA) algorithms designed for Standard Dynamic Range (SDR) videos, sensitizes them to distortions of High Dynamic Range (HDR) videos that are inadequately accounted for by these algorithms.
Subjective Assessment of High Dynamic Range Videos Under Different Ambient Conditions
High Dynamic Range (HDR) videos can represent a much greater range of brightness and color than Standard Dynamic Range (SDR) videos and are rapidly becoming an industry standard.
Subjective and Objective Quality Assessment of High-Motion Sports Videos at Low-Bitrates
Videos often have to be transmitted and stored at low bitrates due to poor network connectivity during adaptive bitrate streaming.
ChipQA: No-Reference Video Quality Prediction via Space-Time Chips
We propose a new model for no-reference video quality assessment (VQA).
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Assessment of Subjective and Objective Quality of Live Streaming Sports Videos
Video live streaming is gaining prevalence among video streaming services, especially for the delivery of popular sporting events.
Detection of Audio-Video Synchronization Errors Via Event Detection
A deep network is trained to detect the visual signature of the tennis ball being hit by the racquet in the video stream.
