Paper Info
Title
Sketch based skirt image retrieval
Abstract
Although many online shops allow users to search for clothes by categories or keywords, it is usually impossible to specify the details of the design. This paper presents a new technology for retrieving skirt images based on sketches. We first conducted a user study to investigate the typical features illustrated in a sketch. Then algorithms have been developed for automatically extracting those features from both the skirt images and the sketches. A prototype system has been implemented to retrieve and present the best matched skirts in real time when a user interactively sketches her imagined skirt on the canvas.
Year
DOI
Venue
2014
10.1145/2630407.2630410
SBIM
Field
DocType
Citations 
Computer vision,Computer graphics (images),Computer science,Image retrieval,Feature extraction,Artificial intelligence,Sketch
Conference
0
PageRank 
References 
Authors
0.34
8
3
Name
Order
Citations
PageRank
Shin-ichiro Kondo100.34
Masahiro Toyoura26419.34
Xiaoyang Mao335158.66