6 papers
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…
Spatially Localized Image Degradation Embeddings for Image Quality Assessment
Krishna Srikar Durbha, Hassene Tmar, Ping-Hao Wu +2
Self-supervised learning (SSL) currently drives state-of-the-art performance in no-reference image quality assessment (NR-IQA). However, standard SSL pipelines uniformly apply synt…
GameScope: A Multi-Attribute, Multi-Codec Benchmark Dataset for Gaming Video Quality Assessment
Rajesh Sureddi, Shreshth Saini, Avinab Saha +1
The development of video game streaming has grown rapidly, with major platforms such as YouTube and Twitch using different codecs. To support quality assessment models that work co…
Seeing Beyond 8bits: Subjective and Objective Quality Assessment of HDR-UGC Videos
Shreshth Saini, Bowen Chen, Neil Birkbeck +3
High Dynamic Range (HDR) user-generated (UGC) videos are rapidly proliferating across social platforms, yet most perceptual video quality assessment (VQA) systems remain tailored t…
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…
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…