A robust and low-cost video fingerprint extraction method for copy detection.
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| Title: | A robust and low-cost video fingerprint extraction method for copy detection. |
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| Authors: | Guzman-Zavaleta, Zobeida1 zguzman@inaoep.mx, Feregrino-Uribe, Claudia1, Morales-Sandoval, Miguel2, Menendez-Ortiz, Alejandra1 |
| Source: | Multimedia Tools & Applications. Nov2017, Vol. 76 Issue 22, p24143-24163. 21p. |
| Subjects: | Videos, Copyright of video recordings, Streaming video & television, User-generated content, Discrete cosine transforms |
| Abstract: | Video fingerprinting for content-based video identification is a very useful task for the management and monetization of copyrighted content distribution. The main challenges of monitoring and copy detection systems are: a) the effective identification of highly transformed videos (robustness) and b) computational efficiency which may be relevant for some applications. Typically, most video fingerprinting methods focus on robustness leaving aside computational efficiency. However, for real-time applications are necessary low computational cost detection methods, for instance, in illegal content monitoring in video streaming distributions. Therefore, in this paper, we propose a low-cost and effective video fingerprint extraction method based on the combination of content-based features using both acoustic and visual video components. Our method is capable of detecting video copies by using computationally efficient fingerprints while maintaining robustness against the decrease in quality and content preserved distortions, which are frequent but severe attacks. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Tools & Applications is the property of Springer Nature and its content may not be copied or emailed to multiple sites without the copyright holder's express written permission. Additionally, content may not be used with any artificial intelligence tools or machine learning technologies. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.) | |
| Database: | Engineering Source |
| FullText | Links: – Type: pdflink Text: Availability: 0 |
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| Header | DbId: egs DbLabel: Engineering Source An: 125925911 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-016-4168-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 21 StartPage: 24143 Subjects: – SubjectFull: Videos Type: general – SubjectFull: Copyright of video recordings Type: general – SubjectFull: Streaming video & television Type: general – SubjectFull: User-generated content Type: general – SubjectFull: Discrete cosine transforms Type: general Titles: – TitleFull: A robust and low-cost video fingerprint extraction method for copy detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Guzman-Zavaleta, Zobeida – PersonEntity: Name: NameFull: Feregrino-Uribe, Claudia – PersonEntity: Name: NameFull: Morales-Sandoval, Miguel – PersonEntity: Name: NameFull: Menendez-Ortiz, Alejandra IsPartOfRelationships: – BibEntity: Dates: – D: 15 M: 11 Text: Nov2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 76 – Type: issue Value: 22 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
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