14 citations · 14 across the 6 of their papers we have counts for
6 papers
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…
GS-NFS: Bandwidth-adaptive Streaming of Dynamic Gaussian Splats and Point Clouds
Rajrup Ghosh, Haodong Wang, Haoran Hong +6
Dynamic 3D Gaussian Splatting (3DGS) holds great promise as a 3D video streaming technology since it can represent complex 3D scenes with high fidelity. In this approach, every fra…
Full reference point cloud quality assessment using support vector regression
Ryosuke Watanabe, Shashank N. Sridhara, Haoran Hong +4
Point clouds are a general format for representing realistic 3D objects in diverse 3D applications. Since point clouds have large data sizes, developing efficient point cloud compr…
Motion estimation and filtered prediction for dynamic point cloud attribute compression
Haoran Hong, Eduardo Pavez, Antonio Ortega +2
In point cloud compression, exploiting temporal redundancy for inter predictive coding is challenging because of the irregular geometry. This paper proposes an efficient block-base…
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…
Pre-demosaic Graph-based Light Field Image Compression
Yung-Hsuan Chao, Haoran Hong, Gene Cheung +1
An unfocused plenoptic light field (LF) camera places an array of microlenses in front of an image sensor in order to separately capture different directional rays arriving at an i…