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Advisor(s)
Abstract(s)
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.
Description
Keywords
Domain Specific Extensible Markup Language (XML) Schema User Physiological Signals Video Access Video Affective Classification Video Recommendation Video Search
Citation
Oliveira, E., Chambel, T., & Ribeiro, N. M. (2013). Sharing Video Emotional Information in the Web. International Journal of Web Portals (IJWP), 5(3), 19-39. doi:10.4018/ijwp.2013070102
Publisher
IGI Global