In this paper, we approach the problem of detecting editing features suitable for video annotation, by paying attention to artifacts and effects introduced in video editing. In particular, a linear transition detection algorithm is presented, which can characterize the transition center and length with high precision. The technique works with sub-frame granularity and is able to include both abrupt cuts and longer dissolves in a single approach. Theoretical justification for the algorithm is provided with an optimization technique for real cases. We present results obtained exploiting the editing features on a Formula 1 video digital library, detecting replays and providing pre classification hints for automatic shot annotation.
Adaptation and Annotation of Formula 1 Sport Videos / Grana, Costantino; Tardini, Giovanni; Cucchiara, Rita. - STAMPA. - (2005), pp. 85-90. (Intervento presentato al convegno First Italian Research Conference on Digital Library Management Systems tenutosi a Padova nel Jan 28).