IEEE MMSP’13: Best Paper Award!

The article “Alignment of Binocular-Binaural Data Using a Moving Audio-Visual Target” received the “Best Paper Award” at the IEEE International Workshop on Multimedia Signal Processing (MMSP’13), Pula, Italy, September-October 2013. The paper is authored by Vasil Khalidov (IDIAP), and co-authored by Radu Horaud (INRIA) and Florence Forbes (INRIA). The paper addresses…

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The Future of Television, by Josep R. Casas

Tuesday, October 15, 2013, 2:00 to 3:00, room C207, INRIA Montbonnot by Josep Ramon Casas, Technical University of Catalonia (UPC), Barcelona Abstract.  Television, a telecommunication medium for the transmission of moving images and sound (cf.wikipedia). It substantiates the “far sight” concept of its mixed Greek-Latin etymology. But this definition may be misleading….

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(closed) Master Project: Sound-source localization based on audio-visual mapping learning

Deadline for sending applications: 30 November 2013. Project proposed by Radu Horaud and Antoine Deleforge. We propose to address the interesting and challenging problem of sound-source localization. A sound source is generally localized using the time-difference of arrival (TDOA) between pairs of microphones. In general, the microphones are arranged in…

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(closed) Master Project: Representation of color-depth data using wavelets on weighted undirected graphs

Deadline for sending applications: 30 November 2013. Project proposed by Radu Horaud, Marianne Clausel, and Georgios Evangelidis. The most successful image representation frameworks are based on the detection and localization of interest points, or keypoints [1]. Interest points are present in an image whenever the local image structure is rich,…

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(closed) Two Master Projects: Binocular Vision for Humanoids and Humans

Deadline for sending applications: 30 November 2013. Project proposed by Georgios Evangelidis and Radu Horaud. The PERCEPTION team at INRIA investigates stereoscopic vision. Over years we have studied the geometry of binocular vision, e.g., [1] and developed several stereo matching algorithms based on seed-growing [2,3,4]. The seed-growing principle is very…

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