8 citations · 12 across the 3 of their papers we have counts for
6 papers · 1 filter
Transform and Entropy Coding in AV2
Alican Nalci, Hilmi E. Egilmez, Madhu P. Krishnan +21
AV2 is the successor to the AV1 video coding standard developed by the Alliance for Open Media (AOMedia). Its primary objective is to deliver substantial compression gains and subj…
Convex Hull Prediction for Adaptive Video Streaming by Recurrent Learning
Somdyuti Paul, Andrey Norkin, Alan C. Bovik
Adaptive video streaming relies on the construction of efficient bitrate ladders to deliver the best possible visual quality to viewers under bandwidth constraints. The traditional…
Self-Supervised Learning of Perceptually Optimized Block Motion Estimates for Video Compression
Somdyuti Paul, Andrey Norkin, Alan C. Bovik
Block based motion estimation is integral to inter prediction processes performed in hybrid video codecs. Prevalent block matching based methods that are used to compute block moti…
Perceptually Optimizing Deep Image Compression
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
Mean squared error (MSE) and norms have largely dominated the measurement of loss in neural networks due to their simplicity and analytical properties. However, when used…
ProxIQA: A Proxy Approach to Perceptual Optimization of Learned Image Compression
Li-Heng Chen, Christos G. Bampis, Zhi Li +2
The use of norms has largely dominated the measurement of loss in neural networks due to their simplicity and analytical properties. However, when used to assess…
Speeding up VP9 Intra Encoder with Hierarchical Deep Learning Based Partition Prediction
Somdyuti Paul, Andrey Norkin, Alan C. Bovik
In VP9 video codec, the sizes of blocks are decided during encoding by recursively partitioning 6464 superblocks using rate-distortion optimization (RDO). This process is c…