Most storytelling model approaches consider stories formed by sequences of a particular type of event. These sequences are mostly constructed using the inherent temporal characteri...
There are a number of issues for information systems which are required to collect data urgently that are not well accommodated by current conceptual modelling methodologies and a...
The modeling of high level semantic events from low level sensor signals is important in order to understand distributed phenomena. For such content-modeling purposes, transformat...
Animation authoring involves an author's interaction with a scene, resulting in varying scene complexity for a given animation sequence. In such a varying environment, detecti...
Parag Agarwal, Srinivas Rajagopalan, B. Prabhakara...
The Hierarchical Hidden Markov Model (HHMM) is a well formalized tool suitable to model complex patterns in long temporal or spatial sequences. Even if effective algorithms are ava...