Towards environment-to-environment (E2E) multimedia communication systems
SAME '08 Proceedings of the 1st ACM international workshop on Semantic ambient media experiences
Towards Environment-to-Environment (E2E) multimedia communication systems
Multimedia Tools and Applications
FQAS'11 Proceedings of the 9th international conference on Flexible Query Answering Systems
A RELIEF-based modality weighting approach for multimodal information retrieval
Proceedings of the 2nd ACM International Conference on Multimedia Retrieval
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Multimedia systems must deal with multiple data streams. Each data stream usually contains significant volume of redundant noisy data. In many real-time applications, it is essential to focus the computing resources on a relevant subset of data streams at any given time instant and use it to build the model of the environment. We formulate this problem as an experiential sampling problem and propose an approach to utilize computing resources efficiently on the most informative subset of data streams. In this paper, we generalize our experiential sampling framework to multiple data streams and provide an evaluation measure for this technique. We have successfully applied this framework to the problems of traffic monitoring, face detection and monologue detection