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Signature system for video identification
| Title: | Signature system for video identification. |
 93 views 27 downloads |
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| Name(s): |
Medellin, Sebastian Possos. College of Engineering and Computer Science Department of Computer and Electrical Engineering and Computer Science |
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| Type of Resource: | text | |
| Genre: | Electronic Thesis Or Dissertation | |
| Date Issued: | 2010 | |
| Publisher: | Florida Atlantic University | |
| Physical Form: | electronic | |
| Extent: | xi, 82 p. : ill. (some col.) | |
| Language(s): | English | |
| Summary: | 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. | |
| Identifier: | 651971588 (oclc), 2683534 (digitool), FADT2683534 (IID), fau:3508 (fedora) | |
| Note(s): |
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. |
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| Subject(s): |
Biometric identification Image processing -- Digital techniques Pattern recognition systems Data encryption (Computer science) |
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| Persistent Link to This Record: | http://purl.flvc.org/FAU/2683534 | |
| Use and Reproduction: | http://rightsstatements.org/vocab/InC/1.0/ | |
| Host Institution: | FAU |
