8 citations · 8 across the 6 of their papers we have counts for
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…
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…
Perceptual Classifiers: Detecting Generative Images using Perceptual Features
Krishna Srikar Durbha, Asvin Kumar Venkataramanan, Rajesh Sureddi +1
Image Quality Assessment (IQA) models are employed in many practical image and video processing pipelines to reduce storage, minimize transmission costs, and improve the Quality of…
Constructing Per-Shot Bitrate Ladders using Visual Information Fidelity
Krishna Srikar Durbha, Alan C. Bovik
Video service providers need their delivery systems to be able to adapt to network conditions, user preferences, display settings, and other factors. HTTP Adaptive Streaming (HAS)…
Bitrate Ladder Construction using Visual Information Fidelity
Krishna Srikar Durbha, Hassene Tmar, Cosmin Stejerean +2
Recently proposed perceptually optimized per-title video encoding methods provide better BD-rate savings than fixed bitrate-ladder approaches that have been employed in the past. H…