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20222026
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eess.IV2026

Dynamic resolution switching for live streaming

Xin Xiong, Yixu Chen, Hai Wei +2

Conventional adaptive bitrate (ABR) streaming systems typically rely on static bitrate ladders to optimize Quality of Experience (QoE). While operationally simple, this "one-size-f…

eess.IV2026

Rate-Distortion Optimization for Ensembles of Non-Reference Metrics

Xin Xiong, Samuel Fernández-Menduiña, Eduardo Pavez +3

Non-reference metrics (NRMs) can assess the visual quality of images and videos without a reference, making them well-suited for the evaluation of user-generated content. Nonethele…

eess.IV2025

Avoiding Quality Saturation in UGC Compression Using Denoised References

Xin Xiong, Samuel Fernández-Menduiña, Eduardo Pavez +3

Video-sharing platforms must re-encode large volumes of noisy user-generated content (UGC) to meet streaming demands. However, conventional codecs, which aim to minimize the mean s…

eess.IV2025

Rate-Distortion Optimization with Non-Reference Metrics for UGC Compression

Samuel Fernández-Menduiña, Xin Xiong, Eduardo Pavez +3

Service providers must encode a large volume of noisy videos to meet the demand for user-generated content (UGC) in online video-sharing platforms. However, low-quality UGC challen…

eess.IV2023

Rate-Distortion Optimization With Alternative References For UGC Video Compression

Xin Xiong, Eduardo Pavez, Antonio Ortega +1

User generated content (UGC) refers to videos that are uploaded by users and shared over the Internet. UGC may have low quality due to noise and previous compression. When re-encod…

eess.IV2022

Compression of user generated content using denoised references

Eduardo Pavez, Enrique Perez, Xin Xiong +2

Video shared over the internet is commonly referred to as user generated content (UGC). UGC video may have low quality due to various factors including previous compression. UGC vi…