Video growth over the Internet changed the way users search, browse and view video content. Watching
movies over the Internet is increasing and becoming a pastime. The possibility of streaming Internet content
to TV, advances in video compression techniques and video streaming have turned this recent modality of
watching movies easy and doable. Web portals as a worldwide mean of multimedia data access need to have
their contents properly classified in order to meet users’ needs and expectations. The authors propose a set of semantic descriptors based on both user physiological signals, captured while watching videos, and on video low-level features extraction. These XML based descriptors contribute to the creation of automatic affective meta-information that will not only enhance a web-based video recommendation system based in emotional information, but also enhance search and retrieval of videos affective content from both users’ personal classifications and content classifications in the context of a web portal.info:eu-repo/semantics/publishedVersio
