Temporal reasoning based on semi-intervals
Artificial Intelligence
Genetic programming: on the programming of computers by means of natural selection
Genetic programming: on the programming of computers by means of natural selection
Automatic temporal layout mechanisms
MULTIMEDIA '93 Proceedings of the first ACM international conference on Multimedia
Content-Based Image Retrieval at the End of the Early Years
IEEE Transactions on Pattern Analysis and Machine Intelligence
Scheduling Multimedia Documents Using Temporal Constraints
Proceedings of the Third International Workshop on Network and Operating System Support for Digital Audio and Video
Model modification in structural equation modeling by imposing constraints
Computational Statistics & Data Analysis
TextTiling: A Quantitative Approach to Discourse
TextTiling: A Quantitative Approach to Discourse
The catchment feature model: a device for multimodal fusion and a bridge between signal and sense
EURASIP Journal on Applied Signal Processing
Unsupervised pattern mining from symbolic temporal data
ACM SIGKDD Explorations Newsletter - Special issue on data mining for health informatics
Affect corpus 2.0: an extension of a corpus for actor level emotion magnitude detection
MMSys '11 Proceedings of the second annual ACM conference on Multimedia systems
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
VACE multimodal meeting corpus
MLMI'05 Proceedings of the Second international conference on Machine Learning for Multimodal Interaction
Structural and temporal inference search (STIS): pattern identification in multimodal data
Proceedings of the 14th ACM international conference on Multimodal interaction
Interactive data-driven discovery of temporal behavior models from events in media streams
Proceedings of the 20th ACM international conference on Multimedia
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The presented thesis work addresses how social scientists may derive patterns of human behavior captured in media streams. Currently, media streams are being segmented into sequences of events describing the actions captured in the streams, such as the interactions among humans. This segmentation creates a challenging data space to search characterized by non-numerical, temporal, descriptive data, e.g., Person A walks up to Person B at time T. We present an approach that allows one to interactively search and discover temporal behavior patterns within such a data space.