A method, an apparatus and a computer program product for video encoding and decoding

An apparatus, comprising at least one processor, memory including computer program code, the memory and the computer program code configured to, with the at least one processor, cause the apparatus to perform at least the following:

• processing a video frame;
• searching for a set of candidate blocks for prediction of a current block of a video frame;
• deriving bi-weighting parameters;
• determining a set of templates for the candidate blocks;
• determining a set of predictions for the current block based on prediction being applied on said set of templates and the derived bi-weighting parameters;
• determining a best prediction from the set of predictions by minimizing an error between a template to which prediction was applied and a template of the current block;
• and
• using bi-weighted merge of the blocks corresponding to the templates providing the best prediction to predict the current block.

A method comprising:

• processing a video frame;
• searching for a set of candidate blocks for prediction of a current block of the video frame;
• deriving bi-weighting parameters;
• determining a set of templates for the candidate blocks;
• determining a set of predictions for the current block based on prediction being applied on said set of templates and the derived bi-weighting parameters;
• determining a best prediction from the set of predictions by minimizing an error between a template to which prediction was applied and a template of the current block;
• and
• using bi-weighted merge of the blocks corresponding to the templates providing the best prediction to predict the current block.

A non-transitory computer readable medium comprising instructions which, when executed by an apparatus, cause the apparatus to perform at least the following:

• processing a video frame;
• searching for a set of candidate blocks for prediction of a current block of the video frame;
• deriving bi-weighting parameters;
• determining a set of templates for the candidate blocks;
• determining a set of predictions for the current block based on prediction being applied on said set of templates and the derived bi-weighting parameters;
• determining a best prediction from the set of predictions by minimizing an error between a template to which prediction was applied and a template of the current block;
• and
• using bi-weighted merge of the blocks corresponding to the templates providing the best prediction to predict of the current block.