In this paper we present the methods and visualizations used in the MediaMill video search engine. The basis for the engine is a semantic indexing process which derives a lexicon ...
Cees Snoek, Dennis Koelma, Giang P. Nguyen, Marcel...
Anecdotal evidence suggests that story-level information is important for the speech component of video retrieval. In this paper we perform a systematic examination of the combina...
In this paper we investigate how a small number of high-level concepts derived for video shots, such as Sports, Face, Indoor, etc., can be used effectively for ad hoc search in vi...
Recent content-based video retrieval systems combine output of concept detectors (also known as high-level features) with text obtained through automatic speech recognition. This ...
Robin Aly, Djoerd Hiemstra, Arjen P. de Vries, Fra...
Abstract. A Video-on-Demand system usually consists of a large number of independent video servers. In order to utilize network resources as efficiently as possible the overall net...