Abstract
A fast and accurate method for scene change detection and classification of camera motion effects in MPEG compressed video is proposed. The method relies on adaptive threshold estimation and on the analysis and combination of various types of video features derived from motion and intensity information. This analysis is also applied for cleaning-up false shot boundaries due to camera motion effects. Two techniques for adaptive threshold estimation are also proposed and evaluated. © Springer-Verlag 2004.
Cite
CITATION STYLE
Doulaverakis, C., Vagionitis, S., Zervakis, M., & Petrakis, E. (2004). Adaptive methods for motion characterization and segmentation of MPEG compressed frame sequences. Lecture Notes in Computer Science (Including Subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics), 3211, 310–317. https://doi.org/10.1007/978-3-540-30125-7_39
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