Automatic Image Content Annotation
Summary
This project is to attach meaningful labels to images by investigating novel machine learning techniques to facilitate visual information management.
Supervisor(s)
Professor David Feng, Dr Zhiyong Wang
Research Location
Program Type
N/A
Synopsis
Digital imagery has significantly expanded its horizon in many domains such as in personal/scientific domains, which demands effective and efficient management of digital images in terms of their true contents. It is difficult to obtain the description of image content manually as a picture is worth a thousand words. It is even more difficult for large scale repositories. Automatic image content annotation is to generate objective and consistent description of image content while achieving significant time and cost efficiencies. Such a technique will facilitate visual data management such as next generation database in various domains including personal digital assets, entertainment, and scientific research as well as with search engines.
Want to find out more?
Contact us to find out what’s involved in applying for a PhD. Domestic students and International students
Contact Research Expert to find out more about participating in this opportunity.
Browse for other opportunities within the Computer Science .
Keywords
Computer Applications, Life and medical sciences, Image processing, Image annotation, Image understanding, Image retrieval, Machine learning
Opportunity ID
The opportunity ID for this research opportunity is: 317
Other opportunities with Professor David Feng
- Advanced computer modelling of biological systems using insight knowledge
- Discovery of new image-derived features for computer-aided diagnosis
- Automated 3-Dimensional Biomedical Registration for Whole-body Images from Combined PET/CT Scanners - Automatic Registration for 3D Whole-body Images from Combined PET/CT Scanners
- Deformable Registration for Temporal Lung Volumes
- Kinetic Characterization and Mapping for Whole-body Molecular Image Retrieval
- Multi-dimensional Biomedical Data Visualization
- Image Representation using Multi-dimensional Biomedical Functional and Anatomical Features
- Web Image Annotation
- Data Management for Automated Identification and Classification of Plant Images
- Novel Image Retouching Techniques
- Automatic Video Content Annotation
- Intelligent Access to Digital TV Content
- Semantic Multimedia Information Retrieval
- Multimedia Streaming with Peer-to-Peer Techniques
- Intelligent Multimodality Molecular Image Segmentation
- Multimodality Medical Image Segmentation
- Medical Image Mining for Computer-Aided Diagnosis
- Functional Brain Image Understanding for Differential Diagnosis of Dementia
- Disease Map - Big Data driven modelling and derivation of diseases and treatment response
- Machine learning in Multiscale Image-Omics
- Content-based Retrieval and Management of Multi-dimensional Biomedical Imaging Data
- Object-based Volumetric Texture Feature Extraction for Biomedical Image Retrieval
- Semantic-driven Multi-modal Biomedical Data Visualisation
- Computerised image analysis of musculoskeletal diagnostics and surgical planning
Other opportunities with Dr Zhiyong Wang
- Web Image Annotation
- Data Management for Automated Identification and Classification of Plant Images
- Novel Image Retouching Techniques
- Automatic Video Content Annotation
- Intelligent Access to Digital TV Content
- Semantic Multimedia Information Retrieval
- Multimedia Streaming with Peer-to-Peer Techniques