Website
http://dataportal.arc.gov.au/NCGP/Web/Grant/Grant/DP150104645
Funding Status
Closed
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Funded Activity Summary
Semantic Vectorisation: From Bitmaps to Intelligent Representations. The objective of this innovative project is to provide a solution to the open question of representing natural images by semantically rich vector graphics. The challenges are to identify key visual and temporal elements for images and videos, and efficiently decompose the visual data into semantic vector representations that are faithful to original data, compact and editable. The project aims to investigate new bitmap-to-vector conversion methods. It is expected to develop a framework where semantic labels and hyperlinks can be embedded in visual data automatically. It hopes to pioneer the creation of a web of images where the links are on image/video regions. New image simplification, stylisation, and non-photorealistic rendering methods are expected to be provided.Funded Activity Details
Start Date: 06-2015
End Date: 03-2019
Funding Scheme: Discovery Projects
Funding Amount: $370,100.00
Funder: Australian Research Council
Research Topics
ANZSRC Field of Research (FoR)
Signal Processing | Computer Graphics | Computer Vision | Artificial Intelligence and Image Processing
ANZSRC Socio-Economic Objective (SEO)
Manufacturing not elsewhere classified | Electronic Information Storage and Retrieval Services | Animation and Computer Generated Imagery Services |
