We introduce the challenge problem for generic video indexing to gain insight in
intermediate steps that affect performance of multimedia analysis methods, while at the …

In this paper, we review 300 references on video retrieval, indicating when text-only
solutions are unsatisfactory and showing the promising alternatives which are in majority …

In this paper we describe our TRECVID 2005 experiments. The UvA-MediaMill team
participated in four tasks. For the detection of camera work (runid: A CAM) we investigate the …

Multimedia data are usually represented by multiple features. In this paper, we propose a
new algorithm, namely Multi-feature Learning via Hierarchical Regression for multimedia …

In this paper we describe our participation in the NIST TRECVID-2003 evaluation. We
participated in four tasks of the benchmark including shot boundary detection, high-level …

Abstract Objective Early detection of Heart Failure (HF) could mitigate the enormous
individual and societal burden from this disease. Clinical detection is based, in part, on …

The expansion of the Internet over the last decade and the proliferation of online social
communities, such as Facebook, Google+, and Twitter, as well as multimedia sharing sites …

Successful and effective content-based access to digital video requires fast, accurate and
scalable methods to determine the video content automatically. A variety of contemporary …

In this paper, we propose an automatic video retrieval method based on high-level concept
detectors. Research in video analysis has reached the point where over 100 concept …

Abstract Concept indexing in multimedia libraries is very useful for users searching and
browsing but it is a very challenging research problem as well. Beyond the systems' …