Contributions to interframe coding
This work addresses efficiency in video compression for applications like streaming or storage, but appears incremental as it builds on existing motion model techniques.
The paper tackles the problem of reducing the number of motion vectors in interframe coding by proposing a new approach that uses variable block sizes based on local image characteristics, achieving this without increasing error compared to using small blocks.
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.