Skirt Image Retrieval based on Sketches

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Shin-ichiro Kondo, Masahiro Toyoura and Xiaoyang Mao: Skirt Image Retrieval based on Sketches. In: Computational Aesthetics 2014.



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.

Extended Abstract


author = {Kondo, Shin-ichiro and Toyoura, Masahiro and Mao, Xiaoyang},
title = {Sketch Based Skirt Image Retrieval},
booktitle = {Proceedings of the 4th Joint Symposium on Computational Aesthetics, Non-Photorealistic Animation and Rendering, and Sketch-Based Interfaces and Modeling},
series = {SBIM '14},
year = {2014},
isbn = {978-1-4503-3018-3},
location = {Vancouver, British Columbia, Canada},
pages = {11--16},
numpages = {6},
url = { },
doi = {10.1145/2630407.2630410},
acmid = {2630410},
publisher = {ACM},
address = {New York, NY, USA},
keywords = {feature extraction, sketch-based image retrieval},

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