A Discrete-Mapping-Based Cross-Component Prediction Paradigm for Screen Content Coding.

Cross-component prediction is an important intra-prediction tool in the modern video coders. Existing prediction methods to exploit cross-component correlation include cross-component linear model and its extension of multi-model linear model. These models are designed for camera captured content.

A Geodesic Translation Model for Spherical Video Compression.

Spherical video coding is critical to the success of many virtual reality and related applications. This paper focuses on an important class of spherical videos whose dynamics involve camera motion. A common approach to spherical video coding is to project from the sphere onto a plane (or planes), where a standard video coder is applied.

Effective Prediction Modes Design for Adaptive Compression With Application in Video Coding.

Adaptive prediction is an important tool for efficient compression of non-stationary signals. A common approach to achieve adaptivity is to switch between a set of prediction modes, designed to capture variations in signal statistics. The design poses several challenges including: i) catastrophic instability due to statistical mismatch driven by propagation through the prediction loop, and ii) severe non-convexity of the cost surface that is often riddled with poor local minima.