Classical models for motion detection with artificial neural networks are inspired in physiological data of simple visual systems. Local speed estimationis a problem that involves...
Francisco J. Vico, F. J. Garrido, Francisco Sandov...
In this paper, a graphical modeling-based approach to semantic video analysis is presented for jointly realizing modality fusion and temporal context exploitation. Overall, the ex...
H.264/AVC has brought an important increase in coding efficiency in comparison to previous video coding standards. One of its features is the use of macroblock partitioning in a t...
We introduce the first visual dataset of fast foods with a total of 4,545 still images, 606 stereo pairs, 303 3600 videos for structure from motion, and 27 privacy-preserving vide...
In this paper, we propose novel blur and similarity transform (i.e. rotation, scaling and translation) invariant features for the recognition of objects in images. The features ar...