The research undertaken in MML is dedicated towards discovering breakthroughs in automatic processing and analysis of images, audio and video using intelligent computational systems, so as to be able to distill important high-level semantic information from such data. Besides traditional multimedia data, other types of data investigated include multi-view imagery, RGB-depth data and also microphone array audio. Research topics include deep learning frameworks for analysis of media content, object and people localization and reconstruction in RGB-D imagery, computational models of image region saliency, automatic foreground-background segmentation and matting, detection and prediction of pedestrian flow densities, as well as speech processing for media retrieval.

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