We have developed a prototype of an adaptive video retrieval system that leverages the knowledge of users’ intentions (and their relationship to video genres/categories) uncovered by our recent studies on “user intentions while watching videos online” [1] to provide better search results and a user interface adapted to the intentions and needs of its users. The goal behind the development of this prototype is to provide a better solution to the problem of including the user’s context into video retrieval than the one offered by baseline video retrieval interfaces (e.g., YouTube). The prototype is called “You(r)Intent.” [...]

by C. Lagger, M. Lux & O. Marques

(to be) published in CIE.