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The OPPORTUNITY Framework and Data Processing Ecosystem for Opportunistic Activity and Context Recognition

Related publications (41)

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Graphical display for annual climate-based daylight simulation

Marilyne Andersen, Magali Bodart

Due to daylight variability, a design cannot be thoroughly assessed using single-moment simulations, which is why we need dynamic performance metrics like Daylight Autonomy and Useful Daylight Illuminance. Going one step further, the annual variation in pe ...

2008

Multi-party Focus of Attention Recognition in Meetings from Head Pose and Multimodal Contextual Cues

Jean-Marc Odobez, Silèye Oumar Ba

We address the problem of recognizing the visual focus of attention (VFOA) of meeting participants from their head pose and contextual cues. The main contribution of the paper is the use of a head pose posterior distribution as a representation of the head ...

IDIAP2007

A multimodal pattern recognition framework for speaker detection

Patricia Besson

Speaker detection is an important component of a speech-based user interface. Audiovisual speaker detection, speech and speaker recognition or speech synthesis for example find multiple applications in human-computer interaction, multimedia content indexin ...

EPFL2007

Powder diffraction studies on proteins: An overview of data collection approaches

Philip Pattison

Following the seminal work of Von Dreele, high quality powder X-ray diffraction studies on proteins are being established as a valuable complementary technique to single-crystal measurements. Several studies using a variety of experiments approaches have b ...

2007

Browsing Recorded Meetings with Ferret

Browsing for elements of interest within a recorded meeting is time-consuming. We describe work in progress on a meeting browser, which aims to support this process by displaying many types of data. These include media, transcripts and processing results, ...

IDIAP2004

New support vector algorithms for multicategorical data applied to real-time object recognition

Silvio Borer

Humans have the ability to learn. Having seen an object we can recognise it later. We can do this because our nervous system uses an efficient and robust visual processing and capabilities to learn from sensory input. On the other hand, designing algorithm ...

EPFL2003

On automatic annotation of meeting databases

Hervé Bourlard, Daniel Gatica-Perez, Samy Bengio, Mark Barnard

In this paper, we discuss meetings as an application domain for multimedia content analysis. Meeting databases are a rich data source suitable for a variety of audio, visual and multi-modal tasks, including speech recognition, people and action recognition ...

2003

On automatic annotation of meeting databases

Hervé Bourlard, Daniel Gatica-Perez, Samy Bengio, Mark Barnard

IDIAP2003

Real-Time 3D Object Recognition for Automatic Tracker Initialization

Pascal Fua

We propose a vision based real-time object recognition system, that provides object identification and 3D position data for the automatic initialization of a 3D tracking system. A-priori information is generated using the models of objects which may be pre ...

IEEE2001

An interface for the interactive design of artistic screens

Roger Hersch

The article presents the concepts and the tools involved in the interactive design of artistic screens. The screen elements are derived from a small set of analytical contours provided by the screen designer. We present the requirements that these contours ...

Springer-Verlag1998