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 Video identification using video tomography.


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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)

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.

Owner Institution: FAU

Other Version: This paper was presented at the IEEE 2009 International Conference on Multimedia & Expo (ICME), New York, 2009.



Autor: Furht, Borko, creator Kalva, Hari, creator Leon, Gustavo, creator Yellamraju, Sivakiran, creator

Fuente: http://fau.digital.flvc.org/islandora/object/fau%3A2114



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