Paper Info
Title
PatchNet: a patch-based image representation for interactive library-driven image editing
Abstract
We introduce PatchNets, a compact, hierarchical representation describing structural and appearance characteristics of image regions, for use in image editing. In a PatchNet, an image region with coherent appearance is summarized by a graph node, associated with a single representative patch, while geometric relationships between different regions are encoded by labelled graph edges giving contextual information. The hierarchical structure of a PatchNet allows a coarse-to-fine description of the image. We show how this PatchNet representation can be used as a basis for interactive, library-driven, image editing. The user draws rough sketches to quickly specify editing constraints for the target image. The system then automatically queries an image library to find semantically-compatible candidate regions to meet the editing goal. Contextual image matching is performed using the PatchNet representation, allowing suitable regions to be found and applied in a few seconds, even from a library containing thousands of images.
Year
DOI
Venue
2013
10.1145/2508363.2508381
ACM Trans. Graph.
Keywords
DocType
Volume
patch-based image representation,interactive library-driven image editing,target image,image region,hierarchical representation,PatchNet representation,appearance characteristic,editing goal,image library,image editing,editing constraint,contextual image matching
Conference
32
Issue
ISSN
Citations 
6
0730-0301
8
PageRank 
References 
Authors
0.42
48
5
Name
Order
Citations
PageRank
Shi-Min Hu13466188.22
Fang-Lue Zhang226915.60
Miao Wang39113.91
Ralph R. Martin43279240.42
Jue Wang52871155.89