1 citations · 2 across the 9 of their papers we have counts for
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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),…
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…
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,…
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…