About

Our Centre is one of the major research centres of the Faculty of Engineering and Physical Sciences at the University of Surrey.

We were founded in 1986 by Prof. Josef Kittler within Surrey's Department of Electrical and Electronic Engineering. Our aim is to advance the state of the art in multimedia signal processing and computer vision, with a focus on image, video and audio applications.

Our Centre is directed by Prof. Adrian Hilton, and is one of the largest research centres in the UK focusing on signal processing and interpretation. We have over 120 members comprising academic and support staff, postdoctoral research fellows, visitors and PhD students.

Our research income is in excess of £18.5m, with funding from EPSRC, InnovateUK, European Union, industry and charities.

Our expertise and activities span computer vision, digital signal processing, machine learning and artificial intelligence, computer graphics and human computer interaction, medical image analysis and multimedia communication.

Research at CVSSP

Over the past thirty years, we have become an international centre of excellence for training and research in audio and visual machine perception in collaboration with industry.

Staff opportunities

If you're interested in working with us then please visit the University's current vacancies page for job opportunities.

cvssp 5 areas

Applications are invited for a Research Fellow (RF) position for 22 months within the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey, UK, to work on a project titled “Automated Captioning of Image and Audio for Visually and Hearing Impaired”, which is a collaborative project between the University of Surrey and the Izmir Katip Celebi University (IKCU), Turkey, with project partners from charities and industrial sectors working with the hearing and visually impaired. This project aims to address fundamental challenges in audio and image captioning, develop new algorithms to improve performance of audio and image captioning algorithms, and application tools that could be used by the hearing and visually impaired to access audio and image content.

The work at Surrey will focus on new methods and algorithms of automated audio captioning and natural language description of audio. This work is built on the significant contributions of CVSSP in the area of acoustic scene analysis, audio event detection, environmental sound recognition, and audio tagging, together with preliminary results on audio captioning. This new project offers an opportunity to take this work to the next stages, and demonstrate the benefit of such technologies for the hearing and visually impaired. A smartphone based prototype will be developed for audio and visual captioning jointly by Surrey and IKCU. New data will also be gathered, including audio-visual data for captioning, and user feedback for the prototype system.

Informal enquiries are welcomed by Professor Wenwu Wang (w.wang@surrey.ac.uk). Otherwise, please apply below.

Application deadline

Thursday 08 April 2021

Apply now

cvssp 5 areas

Join a new research partnership with the BBC at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey.

Exciting opportunity for outstanding researchers in Computer Vision, Audio and Audio-Visual AI to join CVSSP as part of a major new five-year research partnership with the BBC to realise Future Personalised Media Experiences.

The goal of the research partnership is to realise future personalised content creation and delivery at scale for the public at home or on the move. CVSSP research will address the key challenges for personalised content creation and rendering by advancing computer vision and audio-visual AI to transform captured 2D video to object-based media. Research will advance automatic online understanding, reconstruction and neural rendering of complex dynamic real-world scenes and events. This will enable a new generation of personalised media content which adapts to user requirements and interests. The new partnership with the BBC and creative industry partners will position the UK to lead future personalised media experiences.

The Research Fellow A will hold a PhD in computer vision, audio and/or audio-visual AI with a track-record of publication in leading academic forums. The successful candidate will contribute novel machine learning approaches advancing audio-visual AI to transform video of real-world scenes to object-based representation and neural rendering. The post-holder will collaborate with the team and project partners to realise personalised media experiences.

Informal enquiries are welcomed by Professor Adrian Hilton (a.hilton@surrey.ac.uk). Otherwise, please apply below.

 

Application deadline

Tuesday 20 April 2021

Apply now

cvssp 5 areas

Join a new research partnership with the BBC at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey.

Exciting opportunity for outstanding researchers in Computer Vision, Audio and Audio-Visual AI to join CVSSP as part of a major new five-year research partnership with the BBC to realise Future Personalised Media Experiences.

The goal of the research partnership is to realise future personalised content creation and delivery at scale for the public at home or on the move. CVSSP research will address the key challenges for personalised content creation and rendering by advancing computer vision and audio-visual AI to transform captured 2D video to object-based media. Research will advance automatic online understanding, reconstruction and neural rendering of complex dynamic real-world scenes and events. This will enable a new generation of personalised media content which adapts to user requirements and interests. The new partnership with the BBC and creative industry partners will position the UK to lead future personalised media experiences.

The Research Fellow B will be an experienced researcher with an excellent track-record of publication in leading academic forums and post-doctoral research leadership. The successful candidate will take an active role in leading the research programme, contributing novel machine learning approaches to real-world dynamic scene understanding and reconstruction from video, and co-supervision of post-doctoral and PhD researchers.

Informal enquiries are welcomed by Professor Adrian Hilton (a.hilton@surrey.ac.uk). Otherwise, please apply below.

 

Application deadline

Tuesday 20 April 2021

Apply now

 

cvssp 5 areas

Join a new research partnership with the BBC at the Centre for Vision, Speech and Signal Processing (CVSSP), University of Surrey.

Exciting opportunity for outstanding research software engineer in Computer Vision, Audio and Audio-Visual AI to join CVSSP as part of a major new five-year research partnership with the BBC to realise Future Personalised Media Experiences.

The goal of the research partnership is to realise future personalised content creation and delivery at scale for the public at home or on the move. CVSSP research will address the key challenges for personalised content creation and rendering by advancing computer vision and audio-visual AI to transform captured 2D video to object-based media. Research will advance automatic online understanding, reconstruction and neural rendering of complex dynamic real-world scenes and events. This will enable a new generation of personalised media content which adapts to user requirements and interests. The new partnership with the BBC and creative industry partners will position the UK to lead future personalised media experiences.

2x Research Software Engineer/Research Assistant

The Research Software Engineer/Research Assistant will have experience of research and software development in computer vision, audio and machine learning.  The post holder will support the research programme, contributing to research and technologies which enable the transformation of video to audio-visual objects, production of personalised media experiences and object-based audio-visual rendering.

Informal enquiries are welcomed by Professor Adrian Hilton (a.hilton@surrey.ac.uk). Otherwise, please apply below.

 

Application deadline

Tuesday 20 April 2021

Apply now