Digital Pictures: Representation and Compression
Digital Pictures: Representation and Compression
BT Technology Journal
Interactive collaborative media environments
BT Technology Journal
Towards a multi-modal perceptual model
BT Technology Journal
Distributed entertainment environment
BT Technology Journal
The application of telepresence in medicine
BT Technology Journal
Applying telepresence to education
BT Technology Journal
BT Technology Journal
Audio-Visual Interaction in Multimedia Communication
ICASSP '97 Proceedings of the 1997 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP '97) -Volume 1 - Volume 1
A perceptually motivated three-component image model-Part I: description of the model
IEEE Transactions on Image Processing
A distortion measure for blocking artifacts in images based on human visual sensitivity
IEEE Transactions on Image Processing
BT Technology Journal
Presence: Teleoperators and Virtual Environments
Telepresence: Understanding People as Content
Presence: Teleoperators and Virtual Environments
Mobile services for horse-race betting: a QoS study of streaming horse-race videos to 3G phones
MobiMedia '06 Proceedings of the 2nd international conference on Mobile multimedia communications
Audiovisual quality estimation for mobile video services
IEEE Journal on Selected Areas in Communications
Perceptual-based quality assessment for audio-visual services: A survey
Image Communication
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To design, optimise and deliver multimedia and virtual-reality products and services it is necessary to match performance to the capabilities of users. When a multimedia system is used, the presence of audio and video stimuli introduces significant cross-modal effects (the sensory streams interact). This paper introduces a number of cross-modal interactions that are relevant to communications systems and discusses the advanced experimental techniques required to provide data for modelling multi-modal perception. The aim of the work is to provide a multi-modal perceptual model that can be used for performance assessment and can be incorporated into coding algorithms. The current and future applications of multi-modal modelling are discussed.