An enhanced content selection mechanism for personalization of video news programmes.
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| Title: | An enhanced content selection mechanism for personalization of video news programmes. |
|---|---|
| Authors: | Manzato, Marcelo1 mmanzato@icmc.usp.br, Coimbra, Danilo1 danilobc@icmc.usp.br, Goularte, Rudinei1 rudinei@icmc.usp.br |
| Source: | Multimedia Systems. Feb2011, Vol. 17 Issue 1, p19-34. 16p. |
| Subjects: | Personal communication service systems, Interactive multimedia design & construction, Television script writing, Television broadcasting of news, Mobile television |
| Abstract: | In this paper, we propose a content selection framework that improves the users' experience when they are enriching or authoring pieces of news. This framework combines a variety of techniques to retrieve semantically related videos, based on a set of criteria which are specified automatically depending on the media's constraints. The combination of different content selection mechanisms can improve the quality of the retrieved scenes, because each technique's limitations are minimized by other techniques' strengths. We present an evaluation based on a number of experiments, which show that the retrieved results are better when all criteria are used at time. [ABSTRACT FROM AUTHOR] |
| Copyright of Multimedia Systems 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: 57721988 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: An enhanced content selection mechanism for personalization of video news programmes. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Manzato%2C+Marcelo%22">Manzato, Marcelo</searchLink><relatesTo>1</relatesTo><i> mmanzato@icmc.usp.br</i><br /><searchLink fieldCode="AR" term="%22Coimbra%2C+Danilo%22">Coimbra, Danilo</searchLink><relatesTo>1</relatesTo><i> danilobc@icmc.usp.br</i><br /><searchLink fieldCode="AR" term="%22Goularte%2C+Rudinei%22">Goularte, Rudinei</searchLink><relatesTo>1</relatesTo><i> rudinei@icmc.usp.br</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Systems%22">Multimedia Systems</searchLink>. Feb2011, Vol. 17 Issue 1, p19-34. 16p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Personal+communication+service+systems%22">Personal communication service systems</searchLink><br /><searchLink fieldCode="DE" term="%22Interactive+multimedia+design+%26+construction%22">Interactive multimedia design & construction</searchLink><br /><searchLink fieldCode="DE" term="%22Television+script+writing%22">Television script writing</searchLink><br /><searchLink fieldCode="DE" term="%22Television+broadcasting+of+news%22">Television broadcasting of news</searchLink><br /><searchLink fieldCode="DE" term="%22Mobile+television%22">Mobile television</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we propose a content selection framework that improves the users' experience when they are enriching or authoring pieces of news. This framework combines a variety of techniques to retrieve semantically related videos, based on a set of criteria which are specified automatically depending on the media's constraints. The combination of different content selection mechanisms can improve the quality of the retrieved scenes, because each technique's limitations are minimized by other techniques' strengths. We present an evaluation based on a number of experiments, which show that the retrieved results are better when all criteria are used at time. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of Multimedia Systems 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.</i> (Copyright applies to all Abstracts.) |
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| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s00530-010-0204-y Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 16 StartPage: 19 Subjects: – SubjectFull: Personal communication service systems Type: general – SubjectFull: Interactive multimedia design & construction Type: general – SubjectFull: Television script writing Type: general – SubjectFull: Television broadcasting of news Type: general – SubjectFull: Mobile television Type: general Titles: – TitleFull: An enhanced content selection mechanism for personalization of video news programmes. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Manzato, Marcelo – PersonEntity: Name: NameFull: Coimbra, Danilo – PersonEntity: Name: NameFull: Goularte, Rudinei IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 02 Text: Feb2011 Type: published Y: 2011 Identifiers: – Type: issn-print Value: 09424962 Numbering: – Type: volume Value: 17 – Type: issue Value: 1 Titles: – TitleFull: Multimedia Systems Type: main |
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