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Adaptive methods for motion characterization and segmentation of MPEG compressed frame sequences

Petrakis Evripidis, M. Zervakis, V. Vagionitis, C. Doulaverakis

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URI: http://purl.tuc.gr/dl/dias/A05A3996-D548-400B-A5B4-40B2BA9C9A53
Year 2004
Type of Item Conference Paper Abstract
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Bibliographic Citation C. Doulaverakis, V. Vagionitis, M. Zervakis and E. Petrakis: "Adaptive Methods for Motion Characterization and Segmentation of MPEG Compressed Frame Sequence", in 1st Intern. Conference on Image Analysis and Recognition (ICIAR'2004), 2004, pp. 310-317. doi:10.1007/978-3-540-30125-7_39 https://doi.org/10.1007/978-3-540-30125-7_39
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Conference Publications in Community School of Electrical and Computer Engineering

Summary

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.

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