title: Spatial-temporal modeling of interactive image interpretation.
abstract: We consider the problem of spatial-temporal modeling of interactive image interpretation. The interactive process is composed of a sequential prediction step and a change detection step. Combining the two steps leads to a semi-automatic predictor that can be applied to a time-series, yields good predictions, and requests new human input when a change point is detected. The model can effectively capture changes of image features and gradually adapts to them. We propose an online framework that naturally addresses these problems in a unified manner. Our empirical study with a synthetic data set and a road tracking dataset demonstrate the efficiency of the proposed approach.
authors.affiliation: National ICT Australia, Canberra, Australia.
authors.forename: Jun
authors.initials: J
authors.lastname: Zhou
authors.forename: Li
authors.initials: L
authors.lastname: Cheng
authors.forename: Walter F
authors.initials: WF
authors.lastname: Bischof
mesh_terms: D003198:Computer Simulation; D006801:Humans; D007091:Image Processing, Computer-Assisted; D009039:Motion Perception / Q000502:physiology*; D010364:Pattern Recognition, Visual / Q000502:physiology*