An approach for video meta-data modeling and query processing
MULTIMEDIA '99 Proceedings of the seventh ACM international conference on Multimedia (Part 1)
Statistical Pattern Recognition: A Review
IEEE Transactions on Pattern Analysis and Machine Intelligence
Maintaining knowledge about temporal intervals
Communications of the ACM
Semantic Modeling and Knowledge Representation in Multimedia Databases
IEEE Transactions on Knowledge and Data Engineering
An Object-Oriented Conceptual Modeling of Video Data
ICDE '95 Proceedings of the Eleventh International Conference on Data Engineering
FSM-based model for spatio-temporal event recognition for HCS
ICSC '07 Proceedings of the International Conference on Semantic Computing
Voronoi-Based segmentation of cells on image manifolds
CVBIA'05 Proceedings of the First international conference on Computer Vision for Biomedical Image Applications
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We present a multilayered architecture and spatiotemporal models for searching, retrieving, and analyzing high-throughput biological imaging data. The analysis is divided into low- and high-level processing. At the lower level, we address issues like segmentation, tracking, and object recognition. At the high level, we use finite-state-machine- and Petri-net-based models for spatiotemporal event recognition.