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eess.IV2026
A Self-Supervised Learning Framework for Video Encoding Complexity Clustering
Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu +2
Adaptive video streaming is a widely used technique for delivering video content over the internet. One of the key challenges is determining the optimal encoding settings for each…
eess.IV2026
Learning Perceptual Representations for Gaming NR-VQA with Multi-Task FR Signals
Yu-Chih Chen, Michael Wang, Chieh-Dun Wen +4
No-reference video quality assessment (NR-VQA) for gaming videos is challenging due to limited human-rated datasets and unique content characteristics including fast motion, styliz…
eess.IV2025
Leveraging Compression to Construct Transferable Bitrate Ladders
Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu +2
Over the past few years, per-title and per-shot video encoding techniques have demonstrated significant gains as compared to conventional techniques such as constant CRF encoding a…