Most video retrieval systems are multimodal, commonly relying on textual information, low- and high-level semantic features extracted from query visual examples. In this work, we ...
Support vector machines (SVMs) have been widely used in multimedia retrieval to learn a concept in order to find the best matches. In such a SVM active learning environment, the ...
We investigate methods of segmenting, visualizing, and indexing presentation videos by both audio and visual data. The audio track is segmented by speaker, and augmented with key ...
The size of personal music collections has constantly increased over the past years. As a result, the traditional metadata based lists to browse these collections have reached the...
Michael Kuhn 0002, Roger Wattenhofer, Samuel Welte...
In this paper we present TwitterSigns, an approach to display microblogs on public displays. Two different kinds of microblog entries (tweets) are selected for display: Tweets tha...