Real-Time and Distributed AV Content Analysis System for Consumer Electronics Networks
Jan Nesvadba, Pedro Miguel Fonseca, Alexander Sinitsyn, Felix Lange, M. Thijssen, P. van Kaam, Hong Liu, Rien van Leeuwen, JJ Johan Lukkien, A. Korostelev, J. M. M. Ypma, Bart Kroon, Hasan Hüseyin Çelik, Alan Hanjalić, Umut Naci, Jenny Benois‐Pineau, Peter de With, Jungong Han · 2005
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 e.g. 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 upgrade ability of those SUs