An Improved Framework of Affine Motion Compensation in Video Coding.

Affine Motion Compensation (AMC) is a promising coding tool in Joint Exploration Model (JEM) developed by the Joint Video Exploration Team (JVET). AMC in JEM employs a 4-parameter affine model between the current block and its reference block. With this model, Motion Vectors (MV) of each sub-block can be derived from the MVs at two control points.

Joint Separable and Non-Separable Transforms for Next-Generation Video Coding.

Throughout the past few decades, the separable Discrete Cosine Transform (DCT), particularly the DCT type II, has been widely used in image and video compression. It is well known that, under first-order stationary Markov conditions, DCT is an efficient approximation of the optimal Karhunen-Loève transform. However, for natural image and video sources, the adaptivity of a single separable transform with fixed core is rather limited for the highly dynamic image statistics, e.

Enhanced Cross-Component Linear Model for Chroma Intra-Prediction in Video Coding.

Cross-Component Linear Model (CCLM) for chroma intra-prediction is a promising coding tool in Joint Exploration Model (JEM) developed by the Joint Video Exploration Team (JVET). CCLM assumes a linear correlation between the luma and chroma components in a coding block. With this assumption, the chroma components can be predicted by the Linear Model (LM) mode, which utilizes the reconstructed neighbouring samples to derive parameters of a linear model by linear regression.