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F . f . f Amato etal. f . f . f . f Decleir et al. f Media Streams ? - - - - - - 4. 1 summarizes the important characteristics of major contributions to the field with regard to video modeling. Performance measures of the systems based on described models are not included, since, to the best of our knowledge, the systems have never been tested on the same data sets. 1, makes c1ear two important things. 1) use automatically extracted features to represent the video content, but they do not provide semantics that describe high-level concepts of a video, such as objects and events.
Sundaram, D. Zhong, "A Fully Automated Content Based Video Search Engine Supporting Spatio-Temporal Queries", IEEE Transaction on Circuits and Systemsfor Video Technology, Vol. 8, No. , 1998.  T. T. Kuo, A. P. Chen, "A Content-Based Query Language for Video Databases", Proc. ofIEEE Multimedia Computing Systems, 1996.  G. Amato, G. Mainetto, P. Savino, "An Approach to a Content-Based Retrieval of Multimedia Data" Multimedia Tools and applications, Vol. 7, No. 1/2, 1998, pp. 5-36. M. htm  D.
Tbe concept layers are on the top. They consist of logical concepts that are subject of interest to users or applications. Automatie mapping from the raw video data layer to the feature layer has been already achieved to a certain extent, but automatie mapping from the feature to the concept layers is still a ehallenging problem. We divide the concept layer into two ontologically different layers: the object and the event layer. 46 Content-Based Video Retrieval: A Database Perspective The object layer consists of entities (logical concepts), characterized by a prominent spatial dimension and assigned to regions across frames.