In this paper we describe an universal algorithm for data clustering on hardware level. By utilization of a software-inspired hardware architecture, the clustering task can be executed by a data clustering engine (DCE) in a pipelined data stream mode with a latency of only one frame. The scalable architecture of the clustering core allows a quick adaption of the engine to the specific needs of the target application. Furthermore, a prototype implementation in a TSMC 65nm low power CMOS process and an outlook on the final design for the Belle II experiment at KEK/Japan will be presented.

While digital video cameras have existed for over two decades digital video cassettes are still the primary storage medium in professional video archives. One of the major inhibitors in the transition to file-based workflows and media archives is the lack of an affordable, portable and archive compatible storage medium for the vast amounts of content produced.