Discovery Projects - Grant ID: DP190102353

Funded Activity Summary

Deep attribute-aware hashing for cross retrieval. This project aims to enable individuals, industries and governments, to freely access vital and linked information carried in different media types from different sources by developing a deep attribute-aware framework that embeds heterogeneous features into a shared data space to achieve effective and efficient cross system information retrieval. With the proliferation of heterogeneous data sources, there is an urgent need to enable search and retrieval across different media types and domains. The framework developed by the project uses deep learning methods to develop meaningful image attributes to positively bridge the modality gap and the domain gap when hash functions are affixed to data. This project will significantly advance the research of multimedia retrieval, and benefit a series of related research problems whenever heterogeneous multimedia data are involved in their applications.

Funded Activity Details

Start Date: 10-01-2019

End Date: 31-12-2022

Funding Scheme: Discovery Projects

Funding Amount: $262,000.00

Funder: Australian Research Council

Research Topics

ANZSRC Field of Research (FoR)

Information Systems | Pattern Recognition and Data Mining | Database Management |

ANZSRC Socio-Economic Objective (SEO)

Information Processing Services (incl. Data Entry and Capture) | Electronic Information Storage and Retrieval Services

Other Keywords

Database Management | Electronic Information Storage and Retrieval Services | Information Processing Services (incl. Data Entry and Capture) | Information Systems | Pattern Recognition and Data Mining

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