Multimodal and Multimedia Image Analysis and Collaborative Networking for Digestive Endoscopy

These open-source tools support the tem- poral alignment of software-logged usage data to multimodal data streams, visualiza- tion and exploratory analyses of aligned streams,

Learning analytics applications on this dataset may explore awareness and reflection of collaborative learning process through on time feedback; modeling groupwork behavior

Furthermore, we showed how low-level similarity ex- tracted by visual features can be used in a creative way that leads to interesting and surprising links between images.. It should

Il doit être rédigé, avec soin, en PDF et ne doit pas contenir de source ; il doit être rédigé en français et doit expliquer, de la façon la plus claire, la plus simple et la

In this paper we present the prototype of the community-aware semantic video annotation service SeViAnno based on a combination of metadata standards and Web 2.0 technologies in

Image-guided surgery aims at relating data of an on-going intervention to preoperative information about important anatomical structures or tumor localizations. Using

The goal of this thesis is to assess whether multimodal input brings added value to interaction for the multimedia meeting browsing and retrieval domain, and if it does, what

For instance, the MUMIS system [60] indexes videos of football matches thanks to alignment of related textual documents. These documents correspond to news, commentaries