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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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URIhttp://purl.tuc.gr/dl/dias/A05A3996-D548-400B-A5B4-40B2BA9C9A53-
Identifierhttps://doi.org/10.1007/978-3-540-30125-7_39-
Languageen-
TitleAdaptive methods for motion characterization and segmentation of MPEG compressed frame sequences en
CreatorPetrakis Evripidisen
CreatorΠετρακης Ευριπιδηςel
CreatorM. Zervakisen
CreatorV. Vagionitisen
CreatorC. Doulaverakisen
PublisherSpringer Verlagen
Content SummaryA 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 ItemΠερίληψη Δημοσίευσης σε Συνέδριοel
Type of ItemConference Paper Abstracten
Licensehttp://creativecommons.org/licenses/by/4.0/en
Date of Item2015-11-01-
Date of Publication2004-
Bibliographic CitationC. 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_39en

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