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dc.date.accessioned2018-08-21T07:31:44Z
dc.date.available2018-08-21T07:31:44Z
dc.date.created2018-04-17T10:05:51Z
dc.date.issued2018
dc.identifier.citationMohammed, Ahmed Kedir Farup, Ivar Yildirim, Sule Pedersen, Marius Hovde, Øistein . Variational Approach for Capsule Video Frame Interpolation. EURASIP Journal on Image and Video Processing. 2018, 1-13
dc.identifier.urihttp://hdl.handle.net/10852/63272
dc.description.abstractCapsule video endoscopy, which uses a wireless camera to visualize the digestive tract, is emerging as an alternative to traditional colonoscopy. Colonoscopy is considered as the gold standard for visualizing the colon and takes 30 frames per second. Capsule images, on the other hand, are taken with low frame rate (average five frames per second), which makes it difficult to find pathology and results in eye fatigue for viewing. In this paper, we propose a variational algorithm to smooth the video temporally and create a visually pleasant video. The main objective of the paper is to increase the frame rate to be closer to that of the colonoscopy. We propose variational energy that takes into consideration both motion estimation and intermediate frame intensity interpolation using the surrounding frames. The proposed formulation incorporates both pixel intensity and texture feature in the optical flow objective function such that the interpolation at the intermediate frame is directly modeled. The main feature of this formulation is that error in motion estimation is incorporated in our model, so that only robust motion estimation are used in estimating the intensity of the intermediate frame. We derived Euler-Lagrange equations and showed an efficient numerical scheme that can be implemented on graphics hardware. Finally, a motion compensated frame rate doubling version of our method is implemented. We evaluate the quality of both 90 and 100% of the frames for medical diagnosis domain through objective image quality metrics. Our method improves state-of-the-art result for 90% frames while performing equivalent for the remaining cases with other existing methods. In the last section, we show application of frame interpolation to informative frame segment visualization and to reduce the power consumption.en_US
dc.languageEN
dc.language.isoenen_US
dc.publisherHindawi Publishing Corporation
dc.rightsAttribution 4.0 International
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/
dc.titleVariational Approach for Capsule Video Frame Interpolationen_US
dc.typeJournal articleen_US
dc.creator.authorMohammed, Ahmed Kedir
dc.creator.authorFarup, Ivar
dc.creator.authorYildirim, Sule
dc.creator.authorPedersen, Marius
dc.creator.authorHovde, Øistein
cristin.unitcode185,53,11,13
cristin.unitnameGastromedisinsk avdeling
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode1
dc.identifier.cristin1579716
dc.identifier.bibliographiccitationinfo:ofi/fmt:kev:mtx:ctx&ctx_ver=Z39.88-2004&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.jtitle=EURASIP Journal on Image and Video Processing&rft.volume=&rft.spage=1&rft.date=2018
dc.identifier.jtitleEURASIP Journal on Image and Video Processing
dc.identifier.startpage1
dc.identifier.endpage13
dc.identifier.doihttps://doi.org/10.1186/s13640-018-0267-9
dc.identifier.urnURN:NBN:no-65826
dc.type.documentTidsskriftartikkelen_US
dc.type.peerreviewedPeer reviewed
dc.source.issn1687-5176
dc.identifier.fulltextFulltext https://www.duo.uio.no/bitstream/handle/10852/63272/2/Mohammed_18_eurasip.pdf
dc.type.versionPublishedVersion
cristin.articleid30
dc.relation.projectNFR/536564


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