Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection.
Saved in:
| Title: | Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection. |
|---|---|
| Authors: | Wang, Wenguan1, Shen, Jianbing1, Yu, Yizhou2, Ma, Kwan-Liu3 |
| Source: | IEEE Transactions on Visualization & Computer Graphics. Aug2017, Vol. 23 Issue 8, p2014-2027. 14p. |
| Subjects: | 3-D films, Thumbnail images (Image processing), Stereo image processing, Visualization, Computer science |
| Abstract: | In this paper, we propose a framework for automatically producing thumbnails from stereo image pairs. It has two components focusing respectively on stereo saliency detection and stereo thumbnail generation. The first component analyzes stereo saliency through various saliency stimuli, stereoscopic perception and the relevance between two stereo views. The second component uses stereo saliency to guide stereo thumbnail generation. We develop two types of thumbnail generation methods, both changing image size automatically. The first method is called content-persistent cropping (CPC), which aims at cropping stereo images for display devices with different aspect ratios while preserving as much content as possible. The second method is an object-aware cropping method (OAC) for generating the smallest possible thumbnail pair that retains the most important content only and facilitates quick visual exploration of a stereo image database. Quantitative and qualitative experimental evaluations demonstrate promising performance of our thumbnail generation methods in comparison to state-of-the-art algorithms. [ABSTRACT FROM AUTHOR] |
| Copyright of IEEE Transactions on Visualization & Computer Graphics is the property of IEEE 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 | Text: Availability: 0 |
|---|---|
| Header | DbId: egs DbLabel: Engineering Source An: 123925419 AccessLevel: 6 PubType: Academic Journal PubTypeId: academicJournal PreciseRelevancyScore: 0 |
| IllustrationInfo | |
| Items | – Name: Title Label: Title Group: Ti Data: Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection. – Name: Author Label: Authors Group: Au Data: <searchLink fieldCode="AR" term="%22Wang%2C+Wenguan%22">Wang, Wenguan</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Shen%2C+Jianbing%22">Shen, Jianbing</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AR" term="%22Yu%2C+Yizhou%22">Yu, Yizhou</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AR" term="%22Ma%2C+Kwan-Liu%22">Ma, Kwan-Liu</searchLink><relatesTo>3</relatesTo> – Name: TitleSource Label: Source Group: Src Data: <searchLink fieldCode="JN" term="%22IEEE+Transactions+on+Visualization+%26+Computer+Graphics%22">IEEE Transactions on Visualization & Computer Graphics</searchLink>. Aug2017, Vol. 23 Issue 8, p2014-2027. 14p. – Name: Subject Label: Subjects Group: Su Data: <searchLink fieldCode="DE" term="%223-D+films%22">3-D films</searchLink><br /><searchLink fieldCode="DE" term="%22Thumbnail+images+%28Image+processing%29%22">Thumbnail images (Image processing)</searchLink><br /><searchLink fieldCode="DE" term="%22Stereo+image+processing%22">Stereo image processing</searchLink><br /><searchLink fieldCode="DE" term="%22Visualization%22">Visualization</searchLink><br /><searchLink fieldCode="DE" term="%22Computer+science%22">Computer science</searchLink> – Name: Abstract Label: Abstract Group: Ab Data: In this paper, we propose a framework for automatically producing thumbnails from stereo image pairs. It has two components focusing respectively on stereo saliency detection and stereo thumbnail generation. The first component analyzes stereo saliency through various saliency stimuli, stereoscopic perception and the relevance between two stereo views. The second component uses stereo saliency to guide stereo thumbnail generation. We develop two types of thumbnail generation methods, both changing image size automatically. The first method is called content-persistent cropping (CPC), which aims at cropping stereo images for display devices with different aspect ratios while preserving as much content as possible. The second method is an object-aware cropping method (OAC) for generating the smallest possible thumbnail pair that retains the most important content only and facilitates quick visual exploration of a stereo image database. Quantitative and qualitative experimental evaluations demonstrate promising performance of our thumbnail generation methods in comparison to state-of-the-art algorithms. [ABSTRACT FROM AUTHOR] – Name: AbstractSuppliedCopyright Label: Group: Ab Data: <i>Copyright of IEEE Transactions on Visualization & Computer Graphics is the property of IEEE 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=123925419 |
| RecordInfo | BibRecord: BibEntity: Identifiers: – Type: doi Value: 10.1109/TVCG.2016.2600594 Languages: – Code: eng Text: English PhysicalDescription: Pagination: PageCount: 14 StartPage: 2014 Subjects: – SubjectFull: 3-D films Type: general – SubjectFull: Thumbnail images (Image processing) Type: general – SubjectFull: Stereo image processing Type: general – SubjectFull: Visualization Type: general – SubjectFull: Computer science Type: general Titles: – TitleFull: Stereoscopic Thumbnail Creation via Efficient Stereo Saliency Detection. Type: main BibRelationships: HasContributorRelationships: – PersonEntity: Name: NameFull: Wang, Wenguan – PersonEntity: Name: NameFull: Shen, Jianbing – PersonEntity: Name: NameFull: Yu, Yizhou – PersonEntity: Name: NameFull: Ma, Kwan-Liu IsPartOfRelationships: – BibEntity: Dates: – D: 01 M: 08 Text: Aug2017 Type: published Y: 2017 Identifiers: – Type: issn-print Value: 10772626 Numbering: – Type: volume Value: 23 – Type: issue Value: 8 Titles: – TitleFull: IEEE Transactions on Visualization & Computer Graphics Type: main |
| ResultId | 1 |
