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

URI	http://purl.tuc.gr/dl/dias/A05A3996-D548-400B-A5B4-40B2BA9C9A53	-
Identifier	https://doi.org/10.1007/978-3-540-30125-7_39	-
Language	en	-
Title	Adaptive methods for motion characterization and segmentation of MPEG compressed frame sequences	en
Creator	Petrakis Evripidis	en
Creator	Πετρακης Ευριπιδης	el
Creator	M. Zervakis	en
Creator	V. Vagionitis	en
Creator	C. Doulaverakis	en
Publisher	Springer Verlag	en
Content 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.	en
Type of Item	Περίληψη Δημοσίευσης σε Συνέδριο	el
Type of Item	Conference Paper Abstract	en
License	http://creativecommons.org/licenses/by/4.0/	en
Date of Item	2015-11-01	-
Date of Publication	2004	-
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	en

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