CNN applications from the hardware point of view: video sequence sequence segmentation

摘要

In this paper, the problems present in hardware implementations of cellular non-linear network (CNN) type parallel processors are discussed. Instead of designing a multipurpose processor, or even a full image size application specific parallel processor, we suggest a division of the processing task into categories depending on the cell dynamics and on the spread of the influence of a cell. In this way, drastic savings can be achieved in silicon size and in processing speed. As an example, we use a CNN algorithm that was designed for video image segmentation for object-based compression of video Signal.