Fast Video Object Selection for Interactive Television

In this paper, we study the problem of the fast selection of video objects, as an aid for the efficient semi-automatic annotation of video programs. In a regular system, the user has to draw a bounding box around the object, requiring at least two clicks on the image. We propose and experiment algorithms that allow the selection by indicating only one point inside the object, therefore requiring only one click. The problem is then to identify the correct bounding box. We use an attention model and a growing algorithm to construct the most plausible bounding box, based on the comparison of the interior, the border and the outside of the box. We present some experimentation that suggests that in many cases, our algorithm is able to propose a reasonable bounding box