Computational Visual Media View Homepage


Ontology type: schema:Periodical      Open Access: True


Journal Info

START YEAR

2015

PUBLISHER

Tsinghua University Press

LANGUAGE

en

HOMEPAGE

http://link.springer.com/journal/41095

Recent publications latest 20 shown

  • 2019-04-11 A method for estimating the errors in many-light rendering with supersampling
  • 2019-03-30 Livestock detection in aerial images using a fully convolutional network
  • 2019-03-30 No-reference synthetic image quality assessment with convolutional neural network and local image saliency
  • 2019-03 Recurrent 3D attentional networks for end-to-end active object recognition
  • 2019-03 Discernible image mosaic with edge-aware adaptive tiles
  • 2019-03 ShadowGAN: Shadow synthesis for virtual objects with conditional adversarial networks
  • 2019-03 Automated pebble mosaic stylization of images
  • 2019-03 Image-based appearance acquisition of effect coatings
  • 2019-03 Real-time stereo matching on CUDA using Fourier descriptors and dynamic programming
  • 2019-03 Message from the Editor-in-Chief
  • 2018-12 Deforming generalized cylinders without self-intersection by means of a parametric center curve
  • 2018-12 FusionMLS: Highly dynamic 3D reconstruction with consumer-grade RGB-D cameras
  • 2018-12 Acquiring non-parametric scattering phase function from a single image
  • 2018-12 DeepPrimitive: Image decomposition by layered primitive detection
  • 2018-12 FLIC: Fast linear iterative clustering with active search
  • 2018-12 3D floor plan recovery from overlapping spherical images
  • 2018-12 Resolving display shape dependence issues on tabletops
  • 2018-11-24 Removing fences from sweep motion videos using global 3D reconstruction and fence-aware light field rendering
  • 2018-09 GPU based techniques for deep image merging
  • 2018-09 Learning adaptive receptive fields for deep image parsing networks
  • JSON-LD is the canonical representation for SciGraph data.

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    \u2022\u00a0 Classification and composition of visual media
    \u2022\u00a0 Cognition of visual media
    \u2022\u00a0 Content security for visual media
    \u2022\u00a0 Enhancement and re-rendering of visual media
    \u2022\u00a0 Geometric computing for images and video
    \u2022\u00a0 Interactive editing of visual media
    \u2022\u00a0 Machine learning for visual media
    \u2022\u00a0 Social media computing
    \u2022\u00a0 Understanding of visual media
    \u2022\u00a0 Visual media retrieval
    \u2022\u00a0 Visualization and visual analytics

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    For those of you who are US government employees or are prevented from being copyright holders for similar reasons, SpringerOpen can accommodate non-standard copyright lines. Please\u00a0contact\u00a0info@springeropen.com\u00a0if further information is needed.

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