Photometric Stabilization for Fast-forward Videos

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dc.contributor.authorZhang, Xuaneren_US
dc.contributor.authorLee, Joon-Youngen_US
dc.contributor.authorSunkavalli, Kalyanen_US
dc.contributor.authorWang, Zhaowenen_US
dc.contributor.editorJernej Barbic and Wen-Chieh Lin and Olga Sorkine-Hornungen_US
dc.date.accessioned2017-10-16T05:23:57Z
dc.date.available2017-10-16T05:23:57Z
dc.date.issued2016
dc.description.abstractVideos captured by consumer cameras often exhibit temporal variations in color and tone that are caused by camera autoadjustments like white-balance and exposure. When such videos are sub-sampled to play fast-forward, as in the increasingly popular forms of timelapse and hyperlapse videos, these temporal variations are exacerbated and appear as visually disturbing high frequency flickering. Previous techniques to photometrically stabilize videos typically rely on computing dense correspondences between video frames, and use these correspondences to remove all color changes in the video sequences. However, this approach is limited in fast-forward videos that often have large content changes and also might exhibit changes in scene illumination that should be preserved. In this work, we propose a novel photometric stabilization algorithm for fast-forward videos that is robust to large content-variation across frames. We compute pairwise color and tone transformations between neighboring frames and smooth these pair-wise transformations while taking in account the possibility of scene/content variations. This allows us to eliminate high-frequency fluctuations, while still adapting to real variations in scene characteristics. We evaluate our technique on a new dataset consisting of controlled synthetic and real videos, and demonstrate that our techniques outperforms the state-of-the-art.en_US
dc.description.number7
dc.description.sectionheadersVideo and Visualization
dc.description.seriesinformationComputer Graphics Forum
dc.description.volume36
dc.identifier.doi10.1111/cgf.13276
dc.identifier.issn1467-8659
dc.identifier.pages105-113
dc.identifier.urihttps://doi.org/10.1111/cgf.13276
dc.identifier.urihttps://diglib.eg.org:443/handle/10.1111/cgf13276
dc.publisherThe Eurographics Association and John Wiley & Sons Ltd.en_US
dc.subjectI.3.3 [Computer Graphics]
dc.subjectPicture/Image Generation
dc.subjectDisplay algorithms
dc.subjectI.4.3 [Image Processing and Computer Vision]
dc.subjectEnhancement
dc.subjectSmoothing
dc.titlePhotometric Stabilization for Fast-forward Videosen_US
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