Universidade Federal De Minas Gerais - Ufmg

Samsung Electronica Da Amazonia Ltda.

William Robson Schwartz

Otávio A B Penatti

Victor Hugo Cunha De Melo

Priscila Louise Ribeiro Aguirre

Milton F S Santos

Artur Jordão Lima Correia

Jesimon Barreto Santos

Otávio Augusto Bizetto Penatti

Leonardo Antônio Borges Torres

The proposed invention aims at encoding contextual information for video analysis and understanding, by encoding spatial and temporal relationships of objects and the main agent in a scene. The main target application of the invention is human activity recognition. The encoding of such spatial and temporal relationships may be crucial to distinguish different categories of human activities and may be important to help in the discrimination of different video categories, aiming at video classification, retrieval, categorization and other video analysis applications.

Method for video recognition capable of encoding spatial and temporal relationships of concepts using contextual features

A method and system for the recognition of sensor data, like an accelerometer and a gyroscope. The method includes data/feature enrichment before a learning process. Thus, the learning process can benefit from better data, which includes both raw sensor data and enriched data/features. As a consequence, classification models may become less complex without harming accuracy and, therefore, can be more easily deployed to mobile devices, consuming less processing power and battery.

Method and system for sensor data recognition using data enrichment for the learning process

Growing community of inventors

Minas Gerais, Brazil

William Robson Schwartz