Many real-world video analysis applications require the ability to identify domain-specific
events in video, such as interviews and commercials in TV news broadcasts, or action …

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Temporal data mining is the application of data mining techniques to data that takes the time
dimension into account. This paper studies changes in cluster characteristics of supermarket …

Recent increase in the use of video-based applications has revealed the need for extracting
the content in videos. Raw data and low-level features alone are not sufficient to fulfill the …

In many application areas there is a need to represent human-like knowledge related to
spatio-temporal relations among multiple moving objects. This type of knowledge is usually …

Falls are a major health hazard for the elderly and a serious obstacle for independent living.
Since falling causes dramatic physical-psychological consequences, development of …

Video database applications call for flexible and powerful modeling and querying facilities,
which require an integration or interaction between database and knowledge-based …

The video databases have become popular in various areas due to the recent advances in
technology. Video archive systems need user-friendly interfaces to retrieve video frames. In …

Current solutions are still far from reaching the ultimate goal, namely to enable users to
retrieve the desired video clip among massive amounts of visual data in a semantically …

Spatio-temporal querying and retrieval is a challenging task due to the lack of simple user
interfaces for building queries despite the availability of powerful indexing structures and …