A Machine Learning Perspective to Image Processing and Understanding

Funding or Partner Organisation: Huawei Technologies Co. Ltd.

Start year: 2014

Summary: It has been widely identified and acknowledged that machine learning algorithms are valuable to boost the performance of image processing and understanding problems. In this project we will consider developing new machine learning algorithms (latent variable model and coupled learning) for high level image understanding and low level image processing/enhancement.

Publications:

Tian, D & Tao, D 2017, 'Global Hashing System for Fast Image Search', IEEE Transactions on Image Processing, vol. 26, no. 1, pp. 79-89.
View/Download from: Publisher's site

FOR Codes: Computer Vision, Information Processing Services (incl. Data Entry and Capture), Film and Video Services (excl. Animation and Computer Generated Imagery), Pattern Recognition and Data Mining, Image Processing, Mobile Data Networks and Services, Machine learning, Radio, television, film and video services, Mobile technologies and communications, Information systems, technologies and services not elsewhere classified

Acknowledgement of Country

UTS acknowledges the Gadigal people of the Eora Nation, the Boorooberongal people of the Dharug Nation, the Bidiagal people and the Gamaygal people, upon whose ancestral lands our university stands. We would also like to pay respect to the Elders both past and present, acknowledging them as the traditional custodians of knowledge for these lands.