Abstract
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 gridcomputing
solutions and recently standardized interfaces
facilitated the set-up of this framework, forming the basis
for multiple cross-domain and cross-organizational
collaborations [1]. 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 systemarchitecture-
and algorithmic-related work and additionally
facilitate reusability, extensibility and upgradeability of
those SUs.
| Original language | English |
|---|---|
| Title of host publication | International Conference on Consumer Electronics 2006 (Digest of Technical Papers, ICCE'06, Las Vegas NV, USA, January 7-11, 2006) |
| Publisher | Institute of Electrical and Electronics Engineers |
| Pages | 473-474 |
| ISBN (Print) | 0-7803-9459-3 |
| DOIs | |
| Publication status | Published - 2006 |