3 citations · 4 across the 4 of their papers we have counts for
4 papers
Joint Graph and Vertex Importance Learning
Benjamin Girault, Eduardo Pavez, Antonio Ortega
In this paper, we explore the topic of graph learning from the perspective of the Irregularity-Aware Graph Fourier Transform, with the goal of learning the graph signal space inner…
Rate-Distortion Optimization With Alternative References For UGC Video Compression
Xin Xiong, Eduardo Pavez, Antonio Ortega +1
User generated content (UGC) refers to videos that are uploaded by users and shared over the Internet. UGC may have low quality due to noise and previous compression. When re-encod…
Image Coding via Perceptually Inspired Graph Learning
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
Most codec designs rely on the mean squared error (MSE) as a fidelity metric in rate-distortion optimization, which allows to choose the optimal parameters in the transform domain…
Dynamic Polygon Clouds: Representation and Compression for VR/AR
Philip A. Chou, Eduardo Pavez, Ricardo L. de Queiroz +1
We introduce the {\em polygon cloud}, also known as a polygon set or {\em soup}, as a compressible representation of 3D geometry (including its attributes, such as color texture) i…