Efficient Tools for Power Annotation fo Visual Contents: A Lexicographical Approach

摘要

Techniques for content-based image or video retrieval are not mature enough to recongize visual semantic completely. Whereas retrieval based on color, size, texture and shape are within the state of the art, our investigations on human fctor analysis indicate that it is necessary to use captions ro text annotations that are asociated with photos and videos in content access of visual data. In this paper, a framework for integration of textural and visual content searching mechanism is presented. The framework includes ontology-based semantic query expanison, database navigation in a conceptual hierarchy, and a computational model for degree of term similarity calculation. The proposed method is embedded and evaluated in our novel content-based image database system called PicDB~TM.