Real-Time Processing of Media Streams: A Case for Event-Based Interaction

There are many challenges in devising solutions for online content processing of live networked multimedia sessions. These include the computational complexity of feature extraction and high-level concept recognition, the massive amount of data to be analyzed under real-time requirements and the intricate correspondence between low-level features and high-level concepts. Our approach to these challenges is a distributed architecture consisting of interacting components encapsulating feature extraction and concept classifier algorithms. The purpose of the framework is to simplify the development of applications for the domain of on-line multimedia content processing. In this paper we focus on the architecture of the framework and argue that it fits well to the publish / subscribe interaction paradigm, leading to an event-based interaction model. Furthermore, we analyze different aspects of the application domain in more depth, such as requirements for scalability, reconfiguration, m...

• Type: Conference
• Year: 2002
• Where: ICDCSW
• Authors: Viktor S. Wold Eide, Frank Eliassen, Olav Lysne, Ole-Christoffer Granmo
• Keywords: Distributed And Parallel Computing, Event Notification, Event Notification Service, Feature Extraction, ICDCSW 2002