Paper Info
Title
MindCamera: Interactive Sketch-Based Image Retrieval and Synthesis.
Abstract
Composing a realistic picture according to the mind is tough work for most people. It is not only a complex operation but also a creation process from nonexistence to existence. Therefore, the core of this problem is to provide rich existing materials for stitching. We present an interactive sketch-based image retrieval and synthesis system, MindCamera. Compared with existing methods, it can use images of daily scenes as the dataset and proposes a sketch-based image of a scene retrieval model. Furthermore, MindCamera can blend the target object in the gradient domain to avoid the visible seam, and it introduces alpha matting to realize real-time foreground object extraction and composition. Experiments verify that our retrieval model has higher precision and provides more reasonable and richer materials for users. The practical usage demonstrates that MindCamera allows the interactive creation of complex images, and its final compositing results are natural and realistic.
Year
DOI
Venue
2018
10.1109/ACCESS.2018.2796638
IEEE ACCESS
Keywords
Field
DocType
Image retrieval,image segmentation,image fusion
Computer vision,Image stitching,Algorithm design,Computer science,Image retrieval,Feature extraction,Image segmentation,Artificial intelligence,Semantics,Compositing,Distributed computing,Sketch
Journal
Volume
ISSN
Citations 
6
2169-3536
1
PageRank 
References 
Authors
0.36
0
7
Name
Order
Citations
PageRank
J. Wang147995.23
Yu Zhao292.50
Qi Qi321056.01
Qiming Huo410.36
jian zou5348.44
Ce Ge642.42
Jianxin Liao745782.08