Big data is an emerging paradigm applied to datasets whose size is beyond the ability of
commonly used software tools to capture, manage, and process the data within a tolerable …

Structured scene descriptions of images are useful for the automatic processing and
querying of large image databases. We show how the combination of a statistical semantic …

The semantic video indexing problem is still underexplored. Solutions to the problem will
significantly enrich the experience of video search, monitoring, and surveillance. This paper …

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 this paper, we propose the use of a Video-surveillance Ontology and a rule-based
approach to detect an event. The scene is described using the concepts presented in the …

Due to the well-known semantic gap problem, a wide number of approaches have been
proposed during the last decade for automatic image annotation, ie the textual description of …

The increasing need of video based applications issues the importance of parsing and
organizing the content in videos. However, the accurate understanding and managing video …

A common approach in content based video information retrieval is to perform automatic
shot annotation with semantic labels using pre-trained classifiers. The visual vocabulary of …

Nowadays, the diversity and large deployment of video recorders result in a large volume of
video data, whose effective use requires a video indexing process. However, this process …

This paper targets at the problem of automatic semantic indexing of news videos by
presenting a video annotation and retrieval system which is able to perform automatic …