An object-oriented approach to video coding via the CNN Universal Machine

The cellular neural network Universal Machine (CNNUM) is applied to object-oriented image compression algorithms and proves its universality as a hardware platform for future applications. The estimated processing times allow a real-time analysis of the video sequence and outdo the performance of other comparable digital devices reported.