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Multimedia computing

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.

Aims

  • 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.

Research themes

Our research fits broadly within the following themes:

Multimedia experience

  • 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.

Funding

Project name: Integration of video realistic avatar capability into an artificial intelligence driven healthcare information platform
Funded by: KTP
Principal investigator: Professor David Marshall

Project name: Seeing the future
Funded by: EPSRC

Principal investigator: Professor David Marshall

Project name: Perceptually Salient Video Quality Awareness via Scene-Level Quality Assessment
Funded by: Royal Society
Principal investigator: Dr Hantao Liu

Lead researcher

Dr Hantao Liu

Dr Hantao Liu

Director of International
Reader

Email
liuh35@cardiff.ac.uk
Telephone
+442920876557

Academic staff

Professor David Marshall

Professor David Marshall

Professor of Computer Vision

Email
marshallad@cardiff.ac.uk
Telephone
+44 (0)29 2087 5318
Professor Paul Rosin

Professor Paul Rosin

Professor of Computer Vision

Email
rosinpl@cardiff.ac.uk
Telephone
+44 (0)29 2087 5585
Professor Yukun Lai

Professor Yukun Lai

Email
laiy4@cardiff.ac.uk
Telephone
+44 (0)29 2087 6353
Dr Bailin Deng

Dr Bailin Deng

Senior Lecturer

Email
dengb3@cardiff.ac.uk
Telephone
+44 (0)29 2087 4591
Dr Yipeng Qin

Dr Yipeng Qin

Lecturer

Email
qiny16@cardiff.ac.uk
Telephone
+44 (0)29 2087 5537

Seminars are presented at the Visual computing research seminar series.