We aim to automatically identify human action reasons in online videos. We focus on the widespread genre of lifestyle vlogs, in which people perform actions while verbally describing them. We introduce and make publicly available the WhyAct dataset,
consisting of 1,077 visual actions manually annotated with their reasons. We describe a multimodal model that leverages visual and textual information to automatically infer the reasons corresponding to an action presented in the video.
The Mediterranean Diet is a healthy diet which protects from many
diseases, but many factors could affect the adherence and vary from
country to country. The purpose of this study is to assess the
adherence to Mediterranean Diet of the sample, the
n studying the
economic and social factors and lifestyle which affect the
adherence to Mediterranean diet. The sample was composed of
1000 people (516) women (484) men aged from 18-65 years from
all the economic and social levels, they filled a semi-quantitative
food frequency questionnaire. we used the SPSS program.
