Abstract
In this paper, we present the vision of the usage of an objectbased video data storage format for similarity search. The efficient (fast) and effective (accurate) search in video streams is an ongoing and still unsolved problem.
Using an object-based format of multimedia data, all the information that is needed to answer queries is already available in a machine-accessible format. This way, the process of creating (video) descriptors as well as the similarity search becomes easier, because the data is already organized in a manner that allows fast access to specific information.
To demonstrate the concept of similarity search process using the object-based 3D video format, we present experiments conducted on generated clouds of points (an abstraction of 3D video data).