Our focus is to develop multimedia technologies that enhance human experience and performance.
Multimedia data, such as text, audio, images, animations and video, have become an integral part of everyday life.
We conduct research on multimedia content understanding, creation, analysis, and processing. We focus on developing technologies and systems that enhance human experience and performance, and that tackle the challenges faced by online content service providers.
Multimedia computing also benefits a wide range of applications, including health, telecommunication, security, and education.
The group has a track record of delivering impact through research. Our research combines mathematical models, artificial intelligence, machine learning techniques, and human factors in algorithm development and evaluation.
The expertise spans a broad range of topics, including image processing, computer vision, augmented/virtual reality, computational music, speech analysis, and visualisation. We have a track record of collaboration within Cardiff University and externally.
- Develop algorithms for analysing, processing and assessing multimedia data.
- Develop systems that enhance human experience and performance.
- Develop technologies that solve intellectual, industrial, and societal challenges.
Our research fits broadly within the following themes:
- Image and video quality assessment.
- Eye tracking and saliency modelling.
- Perceptual quality of images/3D data.
Multimedia content generation and analysis
- Content generation for images and videos.
- 3D data (point clouds, meshes) content generation.
- Synthesis of realistic humans/faces and caricatures.
- Computational music.
- Speech analysis.
Engaging users with multimedia
- Emotional and social signals.
- Sentiment analysis for multimedia data.
- VR/AR techniques.
- Human factors in visualisation.
Principal investigator: Professor David Marshall
Seminars are presented at the Visual computing research seminar series.