Abstract
In this paper we present a machine learning system that can accurately predict the transitions between frames in a video sequence. We propose a set of novel features and describe how to use dominant features based on a coarse-to-fine strategy to accurately predict video transitions. © Springer-Verlag Berlin Heidelberg 2004.
Cite
CITATION STYLE
APA
Ren, W., & Singh, S. (2004). Automatic video shot boundary detection using machine learning. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3177, 285–292. https://doi.org/10.1007/978-3-540-28651-6_42
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