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This paper explores the issue of interactive low-dimensional human motion synthesis. We compare the performances of two motion models, i.e. Principal Components Analysis (PCA) or Probabilistic PCA (PPCA), for solving a constrained optimization problem with ...
Motion processing is usually deemed to rely on retinotopic coordinates. Using a Ternus-Pikler display, we present an instance in which coherent motion of a dot can only be perceived when its position is integrated non-retinotopically. The stimulus consists ...
In this paper, we introduce novel schemes for scalable Distributed Video Coding (DVC), dealing with temporal, spatial and quality scalabilities. More specifically, conventional coding is used to obtain a base layer. DVC is then applied to generate enhancem ...
This paper addresses the problem of frame interpolation for Wyner-Ziv video coding. A novel frame interpolation method based on block-adaptive matching algorithm for motion estimation is presented. This scheme enables block size adaptation to local activit ...
Audio-visual speech recognition promises to improve the performance of speech recognizers, especially when the audio is corrupted, by adding information from the visual modality, more specifically, from the video of the speaker. However, the number of visu ...
We consider dense networks of surveillance cameras capturing overlapped images of the same scene from different viewing directions, such a scenario being referred to as multi-view. Data compression is paramount in such a system due to the large amount of c ...
We will summarize theoretical approaches used to describe the motion of an avalanching mass down a steep slope. Focus is given to Newtonian and viscoplastic fluids. The governing equation can be obtained by assuming that the flow-depth to length ratio is s ...
Three-dimensional nuclear magnetic resonance (3D NMR) provides one of the foremost analytical tools available for the elucidation of biomolecular structure, function and dynamics. Executing a 3D NMR experiment generally involves scanning a series of time-d ...
We propose a stochastic model for video and compute its information rates. The model has two sources of information representing ensembles of camera motion and visual scene data (i.e. "realities"). The sources of information are combined generating a vecto ...
De¯ned as attentive process in presence of visual sequences, dynamic visual attention responds to static and motion features as well. For a computer model, a straightforward way to integrate these features is to combine all features in a competitive scheme ...
