Author Type

Graduate Student

Date of Award

2008

Document Type

Thesis

Publication Status

Version of Record

Submission Date

October 2026

Abstract

Video identification or copy detection is a challenging problem and is becoming increasingly important with the popularity of online video services. The problem addressed in this thesis is the identification of a given video clip in a given set of videos. For a given query video, the system returns all the instance of the video in the data set. This identification system uses video signatures based on video tomography. A robust and low complexity video signature is designed and implemented. The nature of the signature makes it independent to the most commonly video transformations. The signatures are generated for video shots and not individual frames, resulting in a compact signature of 64 bytes per video shot. The signatures are matched using simple Euclidean distance metric. The results show that videos can be identified with 100% recall and over 93% precision. The experiments included several transformations on videos.

Extent

vi, 61 p. : ill. (some col.)

Comments

by Gustavo A. Leon.|Thesis (M.S.C.S.)--Florida Atlantic University, 2008.|Includes bibliography.|Electronic reproduction. Boca Raton, Fla., 2008. Mode of access: World Wide Web.|by Gustavo A. Leon.

Identifier

FADT2783207

Format

pdf

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