activity
20172020
most citedReferenceless Rate-Distortion Modeling with Learning from Bitstream and Pixel Features

2 citations · 5 across the 5 of their papers we have counts for

collaborators

5 papers

eess.IV20202 cited

Referenceless Rate-Distortion Modeling with Learning from Bitstream and Pixel Features

Yangfan Sun, Li Li, Zhu Li +1

Generally, adaptive bitrates for variable Internet bandwidths can be obtained through multi-pass coding. Referenceless prediction-based methods show practical benefits compared wit…

eess.IV20191 cited

Video-based compression for plenoptic point clouds

Li Li, Zhu Li, Shan Liu +1

The plenoptic point cloud that has multiple colors from various directions, is a more complete representation than the general point cloud that usually has only one color. It is mo…

cs.MM2019

Occupancy-map-based rate distortion optimization for video-based point cloud compression

Li Li, Zhu Li, Shan Liu +1

The state-of-the-art video-based point cloud compression scheme projects the 3D point cloud to 2D patch by patch and organizes the patches into frames to compress them using the ef…

cs.MM20171 cited

An Efficient Four-Parameter Affine Motion Model for Video Coding

Li Li, Houqiang Li, Dong Liu +4

In this paper, we study a simplified affine motion model based coding framework to overcome the limitation of translational motion model and maintain low computational complexity.…

cs.MM20171 cited

Projection based advanced motion model for cubic mapping for 360-degree video

Li Li, Zhu Li, Madhukar Budagavi +1

This paper proposes a novel advanced motion model to handle the irregular motion for the cubic map projection of 360-degree video. Since the irregular motion is mainly caused by th…