Scene completion using millions of photographs
ACM SIGGRAPH 2007 papers
Image inpainting by global structure and texture propagation
Proceedings of the 15th international conference on Multimedia
A multi-scale gradient based method for image completion
SSIP'07 Proceedings of the 7th WSEAS International Conference on Signal, Speech and Image Processing
Video completion based on improved belief propagation
MIV'06 Proceedings of the 6th WSEAS International Conference on Multimedia, Internet & Video Technologies
Computer Vision and Image Understanding
Image Inpainting Considering Brightness Change and Spatial Locality of Textures and Its Evaluation
PSIVT '09 Proceedings of the 3rd Pacific Rim Symposium on Advances in Image and Video Technology
Removing image artifacts due to dirty camera lenses and thin occluders
ACM SIGGRAPH Asia 2009 papers
Video completion via motion guided spatial-temporal global optimization
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Image completion using structural priority belief propagation
MM '09 Proceedings of the 17th ACM international conference on Multimedia
Data-driven image completion by image patch subspaces
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Interactive Image Inpainting Using DCT Based Exemplar Matching
ISVC '09 Proceedings of the 5th International Symposium on Advances in Visual Computing: Part II
Combinatorial optimization for electrode labeling of EEG caps
MICCAI'07 Proceedings of the 10th international conference on Medical image computing and computer-assisted intervention
Image inpainting with improved exemplar-based approach
MCAM'07 Proceedings of the 2007 international conference on Multimedia content analysis and mining
Image in-painting by band matching, seamless cloning and area sub-division
PSIVT'07 Proceedings of the 2nd Pacific Rim conference on Advances in image and video technology
A comprehensive framework for image inpainting
IEEE Transactions on Image Processing - Special section on distributed camera networks: sensing, processing, communication, and implementation
Fast query for exemplar-based image completion
IEEE Transactions on Image Processing
Locally Parallel Texture Modeling
SIAM Journal on Imaging Sciences
Generation of an omnidirectional video without invisible areas using image inpainting
ACCV'09 Proceedings of the 9th Asian conference on Computer Vision - Volume Part II
Statistics of patch offsets for image completion
ECCV'12 Proceedings of the 12th European conference on Computer Vision - Volume Part II
Novel multi-view synthesis from a stereo image pair for 3d display on mobile phone
ACCV'12 Proceedings of the 11th international conference on Computer Vision - Volume 2
An efficient framework for image/video inpainting
Image Communication
Sample-based image completion using structure synthesis
Journal of Visual Communication and Image Representation
de-linkability: a privacy-preserving constraint for safely outsourcing multimedia documents
Proceedings of the Fifth International Conference on Management of Emergent Digital EcoSystems
Energy distribution view for monotonic dual decomposition
International Journal of Approximate Reasoning
Object removal and loss concealment using neighbor embedding methods
Image Communication
| Hi-index | 0.00 |
A new exemplar-based framework unifying image completion, texture synthesis and image inpainting is presented in this work. Contrary to existing greedy techniques, these tasks are posed in the form of a discrete global optimization problem with a well defined objective function. For solving this problem a novel optimization scheme, called Priority- BP, is proposed which carries two very important extensions over standard belief propagation (BP): "prioritybased message scheduling" and "dynamic label pruning". These two extensions work in cooperation to deal with the intolerable computational cost of BP caused by the huge number of existing labels. Moreover, both extensions are generic and can therefore be applied to any MRF energy function as well. The effectiveness of our method is demonstrated on a wide variety of image completion examples.