Javier Ruiz Hidalgo

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The media industry is currently being pulled in the often-opposing directions of increased realism (high resolution, stereoscopic, large screen) and personalization (selection and control of content, availability on many devices). We investigate the feasibility of an end-to-end format-agnostic approach to support both these trends. In this paper, different(More)
A novel real-time algorithm for head and hand tracking is proposed in this paper. This approach is based on data from a range camera, which is exploited to resolve ambiguities and overlaps. The position of the head is estimated with a depthbased template matching, its robustness being reinforced with an adaptive search zone. Hands are detected in a bounding(More)
Regression-based Super-Resolution (SR) addresses the upscaling problem by learning a mapping function (i.e. regressor) from the low-resolution to the high-resolution manifold. Under the locally linear assumption, this complex non-linear mapping can be properly modeled by a set of linear regressors distributed across the manifold. In such methods, most of(More)
The main challenge in Super Resolution (SR) is to discover the mapping between the low-and high-resolution manifolds of image patches, a complex ill-posed problem which has recently been addressed through piecewise linear regression with promising results. In this paper we present a novel regression-based SR algorithm that benefits from an extended(More)
Illumination changes may lead to false foreground (FG) segmentation and tracking results. Most of the existing FG extraction algorithms obtain a background (BG) estimation from temporal statistical parameters. Such algorithms consider a quasi-static BG which does not change but slowly. Therefore, fast illumination changes are not taken into account by the(More)
Traditionally, video indexing and compression have been considered as two separate functionalities. However, the high amount of available multimedia content creates the need for multimedia services to consider both the compression and the indexing aspects of the content in order to efficiently manage it. Therefore, it is interesting to find new techniques(More)
At the Technical University of Catalonia (UPC), a smart room has been equipped with 85 microphones and 8 cameras. This paper describes the setup of the sensors, gives an overview of the underlying hardware and software infrastructure and indicates possibilities for high- and low-level multi-modal interaction. An example of usage of the information collected(More)
For the last few years, video indexing and video compression have been considered as two separate functionalities. However, multimedia content is growing at such a rate that multimedia services will need to consider both the compression and the indexing aspects of the content in order to efficiently manage this audio–video content. Therefore, it is(More)
This paper deals with the extraction and characterization of foreground objects in video sequences. The algorithm first computes the mosaic image representing the background information and then extracts foreground objects. In this last step, the foreground objects are progressively extracted taking into account the reliability of the contour information.(More)