Ws. Li et al., HIERARCHICAL IMAGE MODELING FOR OBJECT-BASED MEDIA RETRIEVAL, Data & knowledge engineering, 27(2), 1998, pp. 139-176
Citations number
31
Categorie Soggetti
Computer Science Artificial Intelligence","Computer Science Information Systems","Computer Science Artificial Intelligence","Computer Science Information Systems
Images an more structurally complex than the data stored in the tradit
ional DBMSs. Many systems perform media retrieval based on image featu
re matching; the fact that images have structures is ignored. On the o
ther hand, we view images as compound objects containing many componen
t objects. Each component object corresponds to a region(s) that is a
visually and semantically meaningful entity (e.g. car, man, etc.). As
images/objects truly have hierarchical structures and have both visual
and semantics properties, we argue that image retrieval using either
semantics and image matching alone is insufficient. In this paper, we
introduce a hierarchical structure for image modeling to support image
retrieval using combinations of semantic expressions and visual examp
les at both the whole image and object levels. We give formal definiti
ons of a multimedia query language and a system implementation based o
n this image modeling. We also address associated query processing iss
ues and discuss the portability and extendibility of our approach.