Scalable Independent Multi-level Distribution in Multimedia Content Analysis
IDMS/PROMS 2002 Proceedings of the Joint International Workshops on Interactive Distributed Multimedia Systems and Protocols for Multimedia Systems: Protocols and Systems for Interactive Distributed Multimedia
Supporting timeliness and accuracy in distributed real-time content-based video analysis
MULTIMEDIA '03 Proceedings of the eleventh ACM international conference on Multimedia
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There are many challenges in devising solutions for on-line content processing of live networked multimedia sessions. These include the computational complexity of featureextraction 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, migration, event notification selection, filtering, and ordering. The main contribution of this paper is, that we for each aspect show how a suitableevent notification service may satisfy the corresponding requirements. We also describe parts of a framework prototype. In particular we report on how the event notification service used satisfies the identified requirements.