Abstract
This paper introduces a video browsing tool for the known item search task. The key idea is to reduce the number of segments to further investigate by several ways such as applying visual filters and skimming representative keyframes. The user interface is optimally designed so as to reduce unnecessary navigations. Furthermore, a coarse-to-fine based approach is employed to quickly find the target clip. © Springer-Verlag Berlin Heidelberg 2013.
Cite
CITATION STYLE
Le, D. D., Lam, V., Ngo, T. D., Tran, V. Q., Nguyen, V. H., Duong, D. A., & Satoh, S. N. I. (2013). NII-UIT-VBS: A video browsing tool for known item search. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 7733 LNCS, pp. 547–549). https://doi.org/10.1007/978-3-642-35728-2_65
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