We present here a concatenative sample-based saxophone synthesizer using an induced performance model intended for expressive synthesis. The system consists on three main parts. The first part provides the analysis of saxophone expressive performance recordings and the extraction of descriptors related to different temporal levels. With the obtained descriptors and the analyzed samples, we cons...

This work presents a browser that supports two strategies for video browsing: the navigation through visual hierarchies and the retrieval of similar images and objects. The input videos are firstly processed by a keyframe extractor to reduce the temporal redundancy and decrease the number of elements to consider. These generated keyframes are hierarchically clustered with the Hierachical Cellul...

In this paper, we explore tensor representations that can compactly capture higherorder relationships between skeleton joints for 3D action recognition. We first define RBF kernels on 3D joint sequences, which are then linearized to form kernel descriptors. The higher-order outer-products of these kernel descriptors form our tensor representations. We present two different kernels for action re...

The purpose of this paper is to describe one-shot-learning gesture recognition systems developed on the ChaLearn Gesture Dataset (ChaLearn). We use RGB and depth images and combine appearance (Histograms of Oriented Gradients) and motion descriptors (Histogram of Optical Flow) for parallel temporal segmentation and recognition. The Quadratic-Chi distance family is used to measure differences be...

Despite the great deal of progress during the recent years, face spoofing detection is still a focus of attention. In this paper, an effective, simple and time-saving countermeasure against video-based face spoofing attacks based on LBP (Local Binary Patterns) and multiscale DCT (Discrete Cosine Transform) is proposed. Adopted as the low-level descriptors, LBP features are used to extract spati...

In this paper, we explore tensor representations that can compactly capture higher-order relationships between skeleton joints for 3D action recognition. We first define RBF kernels on 3D joint sequences, which are then linearized to form kernel descriptors. The higher-order outer-products of these kernel descriptors form our tensor representations. We present two different kernels for action r...

We describe an approach to object retrieval which searches for and localizes all the occurrences of an object in a video, given a query image of the object. The object is represented by a set of viewpoint invariant region descriptors so that recognition can proceed successfully despite changes in viewpoint, illumination and partial occlusion. The temporal continuity of the video within a shot i...

Date and time descriptors play an important role in cultural record keeping. As part of digital access and information retrieval on heritage databases it is becoming increasingly important that date descriptors are not matched as strings but that their semantics are properly understood and interpreted by man and machine alike. This paper describes a prototype system designed to resolve temporal...

The system submitted to the MIREX Audio Music Mood Classification task is described here. It uses a set of 133 descriptors and a Support Vector Machine classifier to predict the mood cluster. The features are spectral, temporal, tonal but also describe loudness and danceability. The features were selected previously according to experiments on our annotated databases. The SVM is optimized using...

In this work, we propose a scheme to estimate two-dimensional full-body human poses in a monocular video sequence. For each frame in the video, we detect the human region using a support vector machine, and estimate the full-body human pose in the detected region using multi-dimensional boosting regression. For the human pose estimation, we design a joints relationship tree, corresponding to th...