Structured natural language descriptions for semantic content retrieval of visual data [ 2003-10-14 - 2006-10-13 ]

Research Grant

Researchers: Dr Audrey Tam (Chief Investigator) ,  Dr R Gallagher (Partner Investigator)

Brief description Structured natural language descriptions for semantic content retrieval of visual data. The richness of visual data complicates the task of indexing their content for database retrieval. Retrieval based on semantic content is more natural than retrieval based on textures or colours but the most common approach - keyword search - lacks precision, while a newer approach - automatic parsing of free-text descriptions - lacks accuracy. We propose a system of metadata and content descriptions, where content descriptions must be phrases composed of basic grammatical terms. Description components may be elements from external resources such as thesauri and databases, providing a rich superstructure for meaningful retrieval of visual data by semantic content.

Funding Amount $67,635

Funding Scheme Linkage Projects

View this grant in the ARC Data Portal