55 citations · 125 across the 37 of their papers we have counts for
7 papers · 1 filter
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,…