37 citations · 53 across the 5 of their papers we have counts for
6 papers · 1 filter
Position Dependent Prediction Combination For Intra-Frame Video Coding
Amir Said, Xin Zhao, Marta Karczewicz +2
Intra-frame prediction in the High Efficiency Video Coding (HEVC) standard can be empirically improved by applying sets of recursive two-dimensional filters to the predicted values…
Low-Complexity Transform Adjustments For Video Coding
Amir Said, Hilmi E. Egilmez, Yung-Hsuan Chao
Recent video codecs with multiple separable transforms can achieve significant coding gains using asymmetric trigonometric transforms (DCTs and DSTs), because they can exploit dive…
Highly Efficient Non-Separable Transforms for Next Generation Video Coding
Amir Said, Xin Zhao, Marta Karczewicz +3
For the last few decades, the application of signal-adaptive transform coding to video compression has been stymied by the large computational complexity of matrix-based solutions.…
New Filters for Image Interpolation and Resizing
Amir Said
We propose a new class of kernels to simplify the design of filters for image interpolation and resizing. Their properties are defined according to two parameters, specifying the w…
Boosting neural video codecs by exploiting hierarchical redundancy
Reza Pourreza, Hoang Le, Amir Said +2
In video compression, coding efficiency is improved by reusing pixels from previously decoded frames via motion and residual compensation. We define two levels of hierarchical redu…
Transform Network Architectures for Deep Learning based End-to-End Image/Video Coding in Subsampled Color Spaces
Hilmi E. Egilmez, Ankitesh K. Singh, Muhammed Coban +5
Most of the existing deep learning based end-to-end image/video coding (DLEC) architectures are designed for non-subsampled RGB color format. However, in order to achieve a superio…