This paper describes a video browsing tool for media (post-) production, enabling users to efficiently find relevant media items for redundant and sparsely annotated content collections. Users can iteratively cluster the content set by different features, and restrict the content set by selecting a subset of clusters. In addition, similarity search by different features is supported. Desktop and Web-based variants of the user interface, including temporal preview functionality, are available. © Springer-Verlag 2013.
CITATION STYLE
Bailer, W., Weiss, W., Schober, C., & Thallinger, G. (2013). An approach for browsing video collections in media production. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7733 LNCS, pp. 538–540). https://doi.org/10.1007/978-3-642-35728-2_62
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