A framework for automatic static and dynamic video thumbnail extraction.
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| Title: | A framework for automatic static and dynamic video thumbnail extraction. |
|---|---|
| Authors: | Choi, Jiwon1 g1choi@kaist.ac.kr, Kim, Changick1 changick@kaist.ac.kr |
| Source: | Multimedia Tools & Applications. Dec2016, Vol. 75 Issue 23, p15975-15991. 17p. |
| Subjects: | Thumbnail images (Image processing), Photographs, Digital cameras, Cell phones, Social networks |
| Abstract: | Video thumbnails enable users to see quick snapshots of video collections. To display the video thumbnails, the first frame or a frame selected by using simple low level features in each video clip has been set to the default thumbnail for the sake of computational efficiency and implementation simplicity. However, such methods often fail to represent the gist of the clip. To overcome this limitation, we present a new framework for both static and dynamic video thumbnail extraction. First, we formulate energy functions using the features which incorporate mid-level information to obtain superior thumbnailing. Since it is considered that frames whose layouts are similar to others in the clip are relevant in video thumbnail extraction, scene layouts are also considered in computing overall energy. For dynamic thumbnail generation, a time slot is determined by finding the duration showing the minimum energy. Experimental results show that the proposed method achieves comparable performance on a variety of challenging videos, and the subjective evaluation demonstrates the effectiveness of our method. [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: 119498819 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
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| Items | – Name: Title Label: Title Group: Ti Data: A framework for automatic static and dynamic video thumbnail extraction. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Choi%2C+Jiwon%22">Choi, Jiwon</searchLink><relatesTo>1</relatesTo><i> g1choi@kaist.ac.kr</i><br /><searchLink fieldCode="AR" term="%22Kim%2C+Changick%22">Kim, Changick</searchLink><relatesTo>1</relatesTo><i> changick@kaist.ac.kr</i> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22Multimedia+Tools+%26+Applications%22">Multimedia Tools & Applications</searchLink>. Dec2016, Vol. 75 Issue 23, p15975-15991. 17p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%22Thumbnail+images+%28Image+processing%29%22">Thumbnail images (Image processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Photographs%22">Photographs</searchLink><br /><searchLink fieldCode="DE" term="%22Digital+cameras%22">Digital cameras</searchLink><br /><searchLink fieldCode="DE" term="%22Cell+phones%22">Cell phones</searchLink><br /><searchLink fieldCode="DE" term="%22Social+networks%22">Social networks</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: Video thumbnails enable users to see quick snapshots of video collections. To display the video thumbnails, the first frame or a frame selected by using simple low level features in each video clip has been set to the default thumbnail for the sake of computational efficiency and implementation simplicity. However, such methods often fail to represent the gist of the clip. To overcome this limitation, we present a new framework for both static and dynamic video thumbnail extraction. First, we formulate energy functions using the features which incorporate mid-level information to obtain superior thumbnailing. Since it is considered that frames whose layouts are similar to others in the clip are relevant in video thumbnail extraction, scene layouts are also considered in computing overall energy. For dynamic thumbnail generation, a time slot is determined by finding the duration showing the minimum energy. Experimental results show that the proposed method achieves comparable performance on a variety of challenging videos, and the subjective evaluation demonstrates the effectiveness of our method. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>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.</i> (Copyright applies to all Abstracts.) |
| PLink | https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=egs&AN=119498819 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1007/s11042-015-2909-6 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 17 StartPage: 15975 Subjects: – SubjectFull: Thumbnail images (Image processing) Type: general – SubjectFull: Photographs Type: general – SubjectFull: Digital cameras Type: general – SubjectFull: Cell phones Type: general – SubjectFull: Social networks Type: general Titles: – TitleFull: A framework for automatic static and dynamic video thumbnail extraction. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Choi, Jiwon – PersonEntity: Name: NameFull: Kim, Changick IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 12 Text: Dec2016 Type: published Y: 2016 Identifiers: – Type: issn-print Value: 13807501 Numbering: – Type: volume Value: 75 – Type: issue Value: 23 Titles: – TitleFull: Multimedia Tools & Applications Type: main |
| ResultId | 1 |
