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Video identification using video tomography

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Date Issued:
2009
Title: Video identification using video tomography.
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Name(s): Furht, Borko, creator
Kalva, Hari, creator
Leon, Gustavo, creator
Yellamraju, Sivakiran, creator
Type of Resource: text
Genre: Article
Issuance: single unit
Date Issued: 2009
Publisher: IEEE
Physical Description: text/pdf [10p]
Language(s): English
Identifier: FADT347362 (IID), 347362 (digitool), fau:2114 (fedora), https://www.cmsworkshops.com/ICME2009/Papers/ViewPapers.asp?PaperNum=1675 (URL), 10.1109/ICME.2009.5202673 (doi)
Note(s): Video identification or copy detection is a challenging problem and is becoming increasingly important with the growing popularity of online video services. The problem addressed in this paper 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.
This paper was presented at the IEEE 2009 International Conference on Multimedia & Expo (ICME), New York, 2009. https://www.cmsworkshops.com/ICME2009/Papers/ViewPapers.asp?PaperNum=1675
Subject(s): Multimedia systems --Security measures.
Digital watermarks.
Digital video.
Persistent Link to This Record: http://purl.flvc.org/fcla/dt/347362
Restrictions on Access: ©2009 Borko Furht, Hari Kalva, Gustavo Leon, Sivakiran Yellamraju, & IEEE.
Host Institution: FAU
Other Version: This paper was presented at the IEEE 2009 International Conference on Multimedia & Expo (ICME), New York, 2009.

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