Abstract: A system and method of detecting food intake events from wearable devices. The system comprises a signal bank to store physiological digital data signals collected via a wearable device comprising at least one sensor to sense at least one physiological parameter of a user. The system comprises a preprocessor module to process the physiological digital data signals stored on the data signal bank and to create a descriptive representation of the sensed at least one physiological parameter. The system also comprises a feature extractor module, with two parallel function modes, comprising features that are automatically learned while others are analytically derived from the descriptive representation. Thus, the feature extractor is configured to select at least one of the modes. The system also comprises a probability estimator module to determine whether a food intake event of the user occurs based on the extracted features.

Abstract: The present invention refers to removal of redundant information from plenoptic point cloud data, reducing the number of bits needed to represent them and thus making the plenoptic point cloud data more suitable to be transferred through a medium of limited bandwidth. The proposed solution is based on predictive differential coding, using the standard color channel of a point clouds as a reference for plenoptic data, and on the application of transforms for greater data compression.

Abstract: The present invention relates to a prediction-based technique for encoding light field data by removing redundant information of light field data, reducing a number of bits by employing a prediction of a pixel value in all four dimensions of the light field. Using this technique to represent light field data, allows it to be transferred through a limited-bandwidth medium and/or to significantly reduce the required storage capacity for this purpose.

Abstract: A hardware-friendly transform method in codecs for plenoptic point clouds. Given that existing video-based point cloud compression codec (V-PCC) is based on multimedia processor video codecs embedded in System-on-Chip (SoC) mobile devices, the remaining V-PCC steps should be as efficient as possible to ensure fair power consumption. In this sense, the method seeks to reduce the complexity of the transform, using integer transforms and imposing limits on the number of distinct transform dimensions, in which these limits are designed in order to minimize the losses of coding efficiency.

Abstract: The present invention relates to a prediction-based technique for encoding light field data by removing redundant information of light field data, reducing a number of bits by employing a prediction of a pixel value in all four dimensions of the light field. Using this technique to represent light field data, allows it to be transferred through a limited-bandwidth medium and/or to significantly reduce the required storage capacity for this purpose.

Abstract: The present invention concerns a hardware-friendly transform method in codecs for plenoptic point clouds. Given that existing video-based point cloud compression codec (V-PCC) is based on multimedia processor video codecs embedded in System-on-Chip (SoC) mobile devices, the remaining V-PCC steps should be as efficient as possible to ensure fair power consumption. In this sense, the method seeks to reduce the complexity of the transform, using integer transforms and imposing limits on the number of distinct transform dimensions, in which these limits are designed in order to minimize the losses of coding efficiency.

Abstract: The present invention refers to removal of redundant information from plenoptic point cloud data, reducing the number of bits needed to represent them and thus making the plenoptic point cloud data more suitable to be transferred through a medium of limited bandwidth. The proposed solution is based on predictive differential coding, using the standard color channel of a point clouds as a reference for plenoptic data, and on the application of transforms for greater data compression.

Abstract: The present invention relates to a method for compressing light-fields by exploiting their overall 4D redundancy using a hybrid approach that combines the benefits of sparse coding approach with pseudo-video sequence or multi-view coding to explore the inter-SAI redundancy and achieves very competitive results. This redundancy is particularly high when the light-fields are densely sampled. Therefore, this invention is especially efficient for densely sampled light-fields, such as the ones acquired by light-field cameras.