Date of Award
2010
Document Type
Thesis
Publication Status
Version of Record
Submission Date
October 2026
Abstract
Video signature techniques based on tomography images address the problem of video identification. This method relies on temporal segmentation and sampling strategies to build and determine the unique elements that will form the signature. In this thesis an extension for these methods is presented; first a new feature extraction method, derived from the previously proposed sampling pattern, is implemented and tested, resulting in a highly distinctive set of signature elements, second a robust temporal video segmentation system is used to replace the original method applied to determine shot changes more accurately. Under a very exhaustive set of tests the system was able to achieve 99.58% of recall, 100% of precision and 99.35% of prediction precision.
Extent
xi, 82 p. : ill. (some col.)
Recommended Citation
Medellin, Sebastian Possos, "Signature system for video identification" (2010). Electronic Theses and Dissertations 2010 - 2019. 174.
https://digitalcommons.fau.edu/etd_general_6/174
Identifier
FADT2683534
Comments
by Sebastian Possos Medellin.|Thesis (M.S.C.S.)--Florida Atlantic University, 2010.|Includes bibliography.|Electronic reproduction. Boca Raton, Fla., 2010. Mode of access: World Wide Web.|by Sebastian Possos Medellin.