55 citations · 125 across the 37 of their papers we have counts for
23 papers · 1 filter
Rate-distortion optimization for full-reference image quality metrics via stochastic Hessian estimates
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
Block-based video codecs select coding parameters based on the input by optimizing a rate-distortion trade-off. The conventional distortion choice, the sum of squared errors (SSE),…
Reduced-complexity Adaptive Loop Filtering via Input-dependent Graph Filters
Wen-Yang Lu, Eduardo Pavez, Antonio Ortega +2
Adaptive Loop Filtering is an important tool for suppressing compression artifacts in modern video codecs. In the enhanced compression model (ECM), a software test model used for e…
Motion Estimation Techniques for Volumetric Video Attribute Compression
Haoran Hong, Eduardo Pavez, Antonio Ortega +2
Point cloud compression relies on techniques to compress both geometry and attributes. Motion-based approaches for dynamic solid point cloud geometry compression within the geometr…
FaSST: Fast Sparsifying Secondary Transform
Darukeesan Pakiyarajah, Samuel Fernández-Menduiña, Eduardo Pavez +2
Data-dependent secondary transforms, which aim to decorrelate coefficients of a separable primary transform, can improve residual coding efficiency; however, their deployment is of…
Rate-Distortion Optimization for Ensembles of Non-Reference Metrics
Xin Xiong, Samuel Fernández-Menduiña, Eduardo Pavez +3
Non-reference metrics (NRMs) can assess the visual quality of images and videos without a reference, making them well-suited for the evaluation of user-generated content. Nonethele…
Wrapper-Aware Rate-Distortion Optimization in Feature Coding for Machines
Samuel Fernández-Menduiña, Hyomin Choi, Fabien Racapé +2
Feature coding for machines (FCM) is a lossy compression paradigm for split-inference. The transmitter encodes the outputs of the first part of a neural network before sending them…
INT-DTT+: Low-Complexity Data-Dependent Transforms for Video Coding
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega +4
Discrete trigonometric transforms (DTTs), such as the DCT-2 and the DST-7, are widely used in video codecs for their balance between coding performance and computational efficiency…
Avoiding Quality Saturation in UGC Compression Using Denoised References
Xin Xiong, Samuel Fernández-Menduiña, Eduardo Pavez +3
Video-sharing platforms must re-encode large volumes of noisy user-generated content (UGC) to meet streaming demands. However, conventional codecs, which aim to minimize the mean s…
Region-Adaptive Learned Hierarchical Encoding for 3D Gaussian Splatting Data
Shashank N. Sridhara, Birendra Kathariya, Fangjun Pu +3
We introduce Region-Adaptive Learned Hierarchical Encoding (RALHE) for 3D Gaussian Splatting (3DGS) data. While 3DGS has recently become popular for novel view synthesis, the size…
Adaptive Voxelization for Transform coding of 3D Gaussian splatting data
Chenjunjie Wang, Shashank N. Sridhara, Eduardo Pavez +2
We present a novel compression framework for 3D Gaussian splatting (3DGS) data that leverages transform coding tools originally developed for point clouds. Contrary to existing 3DG…
Joint Optimization of Primary and Secondary Transforms Using Rate-Distortion Optimized Transform Design
Darukeesan Pakiyarajah, Eduardo Pavez, Antonio Ortega +4
Data-dependent transforms are increasingly being incorporated into next-generation video coding systems such as AVM, a codec under development by the Alliance for Open Media (AOM),…
Rate-Distortion Optimization with Non-Reference Metrics for UGC Compression
Samuel Fernández-Menduiña, Xin Xiong, Eduardo Pavez +3
Service providers must encode a large volume of noisy videos to meet the demand for user-generated content (UGC) in online video-sharing platforms. However, low-quality UGC challen…
Image Coding for Machines via Feature-Preserving Rate-Distortion Optimization
Samuel Fernández-Menduiña, Eduardo Pavez, Antonio Ortega
Many images and videos are primarily processed by computer vision algorithms, involving only occasional human inspection. When this content requires compression before processing,…
Color-Guided Flying Pixel Correction in Depth Images
Ekamresh Vasudevan, Shashank N. Sridhara, Eduardo Pavez +3
We present a novel method to correct flying pixels within data captured by Time-of-flight (ToF) sensors. Flying pixel (FP) artifacts occur when signals from foreground and backgrou…
Graph-based Scalable Sampling of 3D Point Cloud Attributes
Shashank N. Sridhara, Eduardo Pavez, Ajinkya Jayawant +3
3D Point clouds (PCs) are commonly used to represent 3D scenes. They can have millions of points, making subsequent downstream tasks such as compression and streaming computational…
Feature-Preserving Rate-Distortion Optimization in Image Coding for Machines
Samuel Fernández Menduiña, Eduardo Pavez, Antonio Ortega
With the increasing number of images and videos consumed by computer vision algorithms, compression methods are evolving to consider both perceptual quality and performance in down…
Adaptive Online Learning of Separable Path Graph Transforms for Intra-prediction
Wen-Yang Lu, Eduardo Pavez, Antonio Ortega +2
Current video coding standards, including H.264/AVC, HEVC, and VVC, employ discrete cosine transform (DCT), discrete sine transform (DST), and secondary to Karhunen-Loeve transform…
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…
Compression of user generated content using denoised references
Eduardo Pavez, Enrique Perez, Xin Xiong +2
Video shared over the internet is commonly referred to as user generated content (UGC). UGC video may have low quality due to various factors including previous compression. UGC vi…
Fractional Motion Estimation for Point Cloud Compression
Haoran Hong, Eduardo Pavez, Antonio Ortega +2
Motivated by the success of fractional pixel motion in video coding, we explore the design of motion estimation with fractional-voxel resolution for compression of color attributes…
Cylindrical coordinates for LiDAR point cloud compression
Shashank N. Sridhara, Eduardo Pavez, Antonio Ortega
We present an efficient voxelization method to encode the geometry and attributes of 3D point clouds obtained from autonomous vehicles. Due to the circular scanning trajectory of s…
Multi-resolution intra-predictive coding of 3D point cloud attributes
Eduardo Pavez, Andre L. Souto, Ricardo L. De Queiroz +1
We propose an intra frame predictive strategy for compression of 3D point cloud attributes. Our approach is integrated with the region adaptive graph Fourier transform (RAGFT), a m…