Structured natural-language descriptions for semantic content retrieval of visual materials
Journal of the American Society for Information Science and Technology
Structured High-Level Indexing of Visual Data Content
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Automatic Index Expansion for Concept-Based Image Query
VISUAL '99 Proceedings of the Third International Conference on Visual Information and Information Systems
Efficient image indexing and retrieval over mobile devices
Journal of Mobile Multimedia
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Abstract: A data model is presented for the systematic representation of image content. The basic building block of the data model consists of facts, which may be modified and linked together in different ways to express the subject matter of an image. From the data model, a canonical image description may be automatically built, which can capture a rich content semantics. The canonical description may be used to construct a content-based index using a relational database structure. The database structure uses four tables which can be indexed and searched rapidly to provide fast image identification and retrieval. It is expected that the proposed approach may work in conjunction with picture keys, which are a pictorial summary of the underlying images, to provide a flexible scheme for building a powerful query model for the efficient retrieval of images by content for a variety of image database applications.