Indexing video segments using microblogs

This paper shows the relevance and usefulness of indexing multimedia segments thanks to associated microblog posts, for diverse multimedia applications, such as in-media social navigation, multimedia summarization or composition, or exploration of multimedia collections according to various socially-based viewpoints. We present a framework proposal to index and retrieve socialized multimedia segments (i.e. video and associated social interactions) according to several perspectives derived from text mining techniques and topic modeling. In addition, we report a user experiment validating the fundamental assumption of using social interactions to index videos.