The art of video MashUp: supporting creative users with an innovative and smart application

In this paper, we describe the development of a new and innovative tool of video mashup. This application is an easy to use tool of video editing integrated in a cross-media platform; it works taking the information from a repository of videos and puts into action a process of semi-automatic editing supporting users in the production of video mashup. Doing so it gives vent to their creative side without them being forced to learn how to use a complicated and unlikely new technology. The users will be further helped in building their own editing by the intelligent system working behind the tool: it combines semantic annotation (tags and comments by users), low level features (gradient of color, texture and movements) and high level features (general data distinguishing a movie: actors, director, year of production, etc.) to furnish a pre-elaborated editing users can modify in a very simple way

Fast Dialogue Indexing Based on Structure Information

In this paper we propose a fast and simple method to index and search for dialogues in a video database. Dialogues are indexed relying only on the typical dialogue scene structure, which has been modeled using a statistical framework. The related entropy rate is chosen as a compact index for capturing the specificity of the scene structure. Specifically, entropy rate effectively represents the number of expressed visual concepts and the alternating pattern in which concepts appear inside dialogue scenes. As demonstrated on a large video data set, modern video management systems would benefit from integrating such structure information for effective content organization and dialogue search task