research-article

Representing moving images with layers

Authors:

J. Y.A. Wang,

E. H. AdelsonAuthors Info & Claims

IEEE Transactions on Image Processing, Volume 3, Issue 5

Pages 625 - 638

https://doi.org/10.1109/83.334981

Published: 01 September 1994 Publication History

Abstract

We describe a system for representing moving images with sets of overlapping layers. Each layer contains an intensity map that defines the additive values of each pixel, along with an alpha map that serves as a mask indicating the transparency. The layers are ordered in depth and they occlude each other in accord with the rules of compositing. Velocity maps define how the layers are to be warped over time. The layered representation is more flexible than standard image transforms and can capture many important properties of natural image sequences. We describe some methods for decomposing image sequences into layers using motion analysis, and we discuss how the representation may be used for image coding and other applications

Cited By

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Bideau PLearned-Miller ESchmid CAlahari K(2024)The Right Spin: Learning Object Motion from Rotation-Compensated Flow FieldsInternational Journal of Computer Vision10.1007/s11263-023-01859-x132:1(40-55)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11263-023-01859-x
Zhang SMa JWu JRitchie DAgrawala M(2023)Editing Motion Graphics Video via Motion Vectorization and TransformationACM Transactions on Graphics10.1145/361831642:6(1-13)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3618316
Meunier EBadoual ABouthemy P(2023)EM-Driven Unsupervised Learning for Efficient Motion SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.319848045:4(4462-4473)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1109/TPAMI.2022.3198480
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Index Terms

Representing moving images with layers
1. Computing methodologies
  1. Artificial intelligence
    1. Computer vision
      1. Computer vision problems
      2. Computer vision tasks
        Scene understanding
  2. Computer graphics
    1. Animation
      1. Motion capture
    2. Image manipulation

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cover image IEEE Transactions on Image Processing

IEEE Transactions on Image Processing Volume 3, Issue 5

September 1994

249 pages

ISSN:1057-7149

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IEEE Press

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Published: 01 September 1994

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Bideau PLearned-Miller ESchmid CAlahari K(2024)The Right Spin: Learning Object Motion from Rotation-Compensated Flow FieldsInternational Journal of Computer Vision10.1007/s11263-023-01859-x132:1(40-55)Online publication date: 1-Jan-2024
https://dl.acm.org/doi/10.1007/s11263-023-01859-x
Zhang SMa JWu JRitchie DAgrawala M(2023)Editing Motion Graphics Video via Motion Vectorization and TransformationACM Transactions on Graphics10.1145/361831642:6(1-13)Online publication date: 5-Dec-2023
https://dl.acm.org/doi/10.1145/3618316
Meunier EBadoual ABouthemy P(2023)EM-Driven Unsupervised Learning for Efficient Motion SegmentationIEEE Transactions on Pattern Analysis and Machine Intelligence10.1109/TPAMI.2022.319848045:4(4462-4473)Online publication date: 1-Apr-2023
https://dl.acm.org/doi/10.1109/TPAMI.2022.3198480
Xie JXie WZisserman AKoyejo SMohamed SAgarwal ABelgrave DCho KOh A(2022)Segmenting moving objects via an object-centric layered representationProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3602302(28023-28036)Online publication date: 28-Nov-2022
https://dl.acm.org/doi/10.5555/3600270.3602302
Lu ECole FXie WDekel TFreeman WZisserman ARubinstein MKoyejo SMohamed SAgarwal ABelgrave DCho KOh A(2022)Associating objects and their effects in video through coordination gamesProceedings of the 36th International Conference on Neural Information Processing Systems10.5555/3600270.3602231(27049-27060)Online publication date: 28-Nov-2022
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Wang YYe YMao YYu YSong YMagalhães Jdel Bimbo ASatoh SSebe NAlameda-Pineda XJin QOria VToni L(2022)Self-supervised Scene Text Segmentation with Object-centric Layered Representations Augmented by Text RegionsProceedings of the 30th ACM International Conference on Multimedia10.1145/3503161.3548315(5980-5989)Online publication date: 10-Oct-2022
https://dl.acm.org/doi/10.1145/3503161.3548315
Huang FLiu CHsiao KKuo YChu HYang Y(2022)Image-Based OA-Style Paper Pop-Up Design via Mixed-Integer ProgrammingIEEE Transactions on Visualization and Computer Graphics10.1109/TVCG.2022.318956929:10(4269-4283)Online publication date: 8-Jul-2022
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Zhao LHansard MCavallaro A(2022)Pop-up Modelling of Hazy ScenesImage Analysis and Processing — ICIAP 201510.1007/978-3-319-23231-7_28(306-318)Online publication date: 10-Mar-2022
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Zhao WLiu SGuo HWang WLiu Y(2022)ParticleSfM: Exploiting Dense Point Trajectories for Localizing Moving Cameras in the WildComputer Vision – ECCV 202210.1007/978-3-031-19824-3_31(523-542)Online publication date: 23-Oct-2022
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Yang GSun DJampani VVlasic DCole FLiu CRamanan DRanzato MBeygelzimer ADauphin YLiang PVaughan J(2021)ViSERProceedings of the 35th International Conference on Neural Information Processing Systems10.5555/3540261.3541739(19326-19338)Online publication date: 6-Dec-2021
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Decomposing Images into Layers via RGB-Space Geometry

Inference of two-dimensional layers from uncalibrated images

Decomposing Images into Layers via RGB-Space Geometry

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