7 citations · 10 across the 8 of their papers we have counts for
10 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…
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…
Subjective and Objective Quality Assessment of Rendered Human Avatar Videos in Virtual Reality
Yu-Chih Chen, Avinab Saha, Alexandre Chapiro +6
We study the visual quality judgments of human subjects on digital human avatars (sometimes referred to as "holograms" in the parlance of virtual reality [VR] and augmented reality…
AIM 2024 Challenge on Efficient Video Super-Resolution for AV1 Compressed Content
Marcos V Conde, Zhijun Lei, Wen Li +3
Video super-resolution (VSR) is a critical task for enhancing low-bitrate and low-resolution videos, particularly in streaming applications. While numerous solutions have been deve…
SVT-AV1 Encoding Bitrate Estimation Using Motion Search Information
Lena Eichermüller, Gaurang Chaudhari, Ioannis Katsavounidis +4
Enabling high compression efficiency while keeping encoding energy consumption at a low level, requires prioritization of which videos need more sophisticated encoding techniques.…