The main research interests of MHUG are the investigation and implementation of novel machine learning models for computer vision and multimedia computing. MHUG researchers address challenging topics in these field with an interdisciplinary approach that spans the following disciplines: computer science, mathematics, engineering and psychology. In particular, we develop methods for the representation and recognition of visual objects, actions and events, information retrieval from large-scale media sources, and detection/perception of human emotions.

MHUG is associated with Department of Information Engineering and Computer Science at The University of Trento. 

Research Topics:

• Computer vision: object recognition, action detection and recognition, scene understanding, event detection, video tracking, attribute learning.
  
• Multimedia: cross-media retrieval, multi-modal learning and social computing.
• Affective computing: detecting and recognizing emotional information, emotion in machines, facial affect detection, physiological monitoring, emotion modeling and classification.
• Machine learning: deep learning, representation learning, graphical models, mixture models, linear and non-linear dimension reduction, transfer learning.

Research Projects:

European Projects:

• CrossLingual crossMedia knowledge extraction (xLiMe): FP7 STREP (11/2013-11/2016), WP Leader
  
• Devices for Assisted Living (DALI): FP7 STREP (11/2012-11/2015), Scientific Leader CV group UNITN
  
• Social Annotation and eXperiences: (S-MAX) EIT ICT Labs (2013), Scientific Leader UNITN
  
• Video Quality Driven Multimedia Streaming in Mobile Wireless Networks (QoSTREAM), FP7 Marie Curie Action, Scientific Leader UNITN
  
• The Interaction Toolkit II (TIK2), EIT ICT Labs (2013), Scientific Leader UNITN
  
• Event-centric Multimedia content Access Platform (EventMAP), EIT ICT Labs (2012), Coordinator
  
• The Interaction Toolkit (TIK), EIT ICT Labs (2012), Scientific Leader UNITN
  
• Event-based Retrieval of Networked Media (Glocal), FP7 IP (12/2009-12/2012), WP Leader
  
• Coordinated Approach to the European Effort on Audio-Visual Search Engines (CHORUS+), FP7 CA (1/2010-1/2013), WP Leader
  
• Multimodal Interactions Analysis and Exploration of Users with a Controlled Environment (MIAUCE), FP6 STREP (9/2006-6/2009), WP Leades,
  
• Coordinated Approach to the European Effort on Audio-Visual Search Engines (CHORUS): FP6 CA (11/2006-5/2009), WP Leader
  
• Measuring Feelings and Expectations Associated with Texture (SYNTEX): FP6 STREP (11/2006-11/2009), WP Leader
  
• Perceptual Consciousness – Explication and Testing (PERCEPT): FP6 STREP (11/2006-11/2009), WP Leader
  
• Multimedia Understanding through Semantics, Computation, and Learning (MUSCLE), FP5 NoE (3/2004-3/2008), WP Leader
  

National and local projects

• Active Ageing at Home, Tecnologie per gli Ambienti di Vita, Cluster MIUR CTN01_00128 (2014-2017), Scientific Leader UNITN
  
• Monitoring ART Museum Experience (MART-ME), TRP-TrentoRISE (2014-2016), Coordinator
  
• Discovering, Relating and Reasoning about Events in Multi-Modal Data (EventStream), JRP-TrentoRISE (2014-2016), Scientific Leader UNITN
  
• Mobile Data for Community and Individual Empowerment & Change (BeHave), TRP-TrentoRISE (2014-2016), Scientific Leader UNITN
  
• FIRB 2008: Social Patterns: Modeling & Analysis (S-PATTERNS) (12/2010 – 12/2014), Coordinator
  
• Persuasion Technologies (PERTE), Trento RISE (2012-2015), Scientific Leader
  
• Observing Attention (OZ) – Universiade, Coordinaton
  
• Brain Decoding of Affective Multimedia Stimuli with MEG (DECAF), CiMeC (1/2012-12/2013), Coordinator
  

Industrial projects

• Analysis of Heterogeneous Data – Telecom Italia (12/2013-6/2014), Coordinator