Video Editing

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.

— In this paper, we introduce an Automatic Video Summarizing Tool (AVST) for a personal video recorder. The tool utilizes MPEG-7 visual descriptors to generate a video index for summary. The resulting index generates not only a preview of a movie but also allows ...

This paper proposes a new model to represent the moving shadow areas in video sequences. Classical models assume that the ambient light received in a shadow area is constant, but in practice it is not always the case. In order to define a more precise model, the variations of the ambient light are here taken into account thanks to a level curves decomposition of the shadow area. A B-spline approximation of these level curves is introduced in order to get a smooth and compact representation. Experimental results show that this model can efficiently represents shadow areas. Results have been applied to the problem of shadow removal for video editing applications.

Typical result of an automatic shot change detection algorithm expectedly includes a certain number of undetected shots as well as falsely detected shots. Even though automatic shot change detection algorithms are continuing to improve, the ultimate goal of automatically detecting all shot changes without false alarms may never be achieved. Thus, allowing a human operator to intervene—to review and verify

This paper presents new techniques for object-based video manipulations using mosaic representations of the fixed background of the scene. For that purpose, a new efficient camera motion estimation technique based on temporal linking, full search method and descent gradient methods is proposed to create the mosaic image. This global information is therefore used for video editing (for example suppression of