Contributions to interframe coding

TL;DR

This paper introduces a novel interframe coding method that adaptively adjusts block sizes based on local image features to efficiently represent complex motion with fewer vectors, improving coding efficiency.

Contribution

It proposes a new approach to reduce motion vectors in interframe coding by using variable block sizes tailored to local image characteristics.

Findings

Reduces the number of motion vectors needed for complex motion.

Maintains error levels comparable to small block coding.

Enhances inter/intraframe coding efficiency.

Abstract

Advanced motion models (4 or 6 parameters) are needed for a good representation of the motion experimented by the different objects contained in a sequence of images. If the image is split in very small blocks, then an accurate description of complex movements can be achieved with only 2 parameters. This alternative implies a large set of vectors per image. We propose a new approach to reduce the number of vectors, using different block sizes as a function of the local characteristics of the image, without increasing the error accepted with the smallest blocks. A second algorithm is proposed for an inter/intraframe coder.