Distributed and adaptive multimedia content analysis prototyping framework for consumer electronics

The ever-increasing complexity of generic multimedia-content-analysis-based (MCA) solutions, their processing power demanding nature and the need to prototype and assess solutions in a fast and cost-saving manner motivated the development of the Cassandra framework. The combination of state-of-the-art network and grid-computing solutions and recently standardized interfaces facilitated the set-up of this framework, forming the basis for multiple cross-domain and cross-organizational collaborations. It enables distributed computing scenario simulations for, for example, distributed content analysis (DCA) across consumer electronics (CE) in-home networks, but also the rapid development and assessment of complex multi-MCA-algorithm-based applications and system solutions. Furthermore, the framework's modular nature - logical MCA units are wrapped into so-called service units (SU) - ease the split between system-architecture - and algorithmic-related work and additionally facilitate reusability, extensibility and upgradeability of those SUs