Shin-ichiro Kondo
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.
- Arya, S., Mount, D., Silverman, R., and Wu, A. 1998. An optimal algorithm for approximate nearest neighbor searching in fixed dimensions. Journal of the ACM 45, 6, 891--923. Google Scholar
Digital Library
- Chen, T., Cheng, M.-M., Tan, P., Shamir, A., and Hu, S.-M. 2009. Sketch2photo: Internet image montage. ACM Transactions on Graphics (TOG) 28, 5. Article 124. Google ScholarDigital Library
- Eitz, M., Hildebrand, K., Boubekeur, T., and Alexa, M. 2010. Sketch based image retrieval: Benchmark and bag-of-features descriptors. IEEE Transactions on Visualization and Computer Graphics (TVCG) 17, 11, 1624--1636. Google ScholarDigital Library
- Hu, R., Barnard, M., and Collomosse, J. P. 2010. Gradient field descriptor for sketch based retrieval and localization. In IEEE International Conference on Image Processing (ICIP), 1025--1028.Google Scholar
- Klein, D. A., and Frintrop, S. 2011. Center-surround divergence of feature statistics for salient object detection. In International Conference on Computer Vision (ICCV), 2214--2219. Google ScholarDigital Library
- Lee, Y. J., Zitnick, C. L., and Cohen, M. F. 2011. Shadowdraw: real-time user guidance for freehand drawing. ACM Transactions on Graphics (TOG) 30, 4. Article 27. Google ScholarDigital Library
- Liu, S., Song, Z., Liu, G., Xu, C., Lu, H., and Yan, S. 2012. Street-to-shop: Cross-scenario clothing retrieval via parts alignment and auxiliary set. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3330--3337. Google ScholarDigital Library
- Tseng, C. H., Hung, S. S., and Tsay, J. J. 2009. An efficient garment visual search based on shape context. WSEAS Transactions on Computers 8, 7, 1195--1204. Google ScholarDigital Library
- Yamaguchi, K., Kiapour, M. H., Ortiz, L. E., and Berg, T. L. 2012. Parsing clothing in fashion photographs. In IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 3570--3577. Google ScholarDigital Library
- Zhang, D., and Lu, G. 2001. A comparison of shape retrieval using fourier descriptors and short-time fourier descriptors. In IEEE Advances in Multimedia Information Processing, 855--860. Google ScholarDigital Library
Index Terms
- Sketch based skirt image retrieval
Recommendations
Sketch-based Image Retrieval using Generative Adversarial Networks
MM '17: Proceedings of the 25th ACM international conference on MultimediaFor sketch-based image retrieval (SBIR), we propose a generative adversarial network trained on a large number of sketches and their corresponding real images. To imitate human search process, we attempt to match candidate images with theimaginary image ...
Sketch-based image retrieval using keyshapes
Although sketch based image retrieval (SBIR) is still a young research area, there are many applications capable of exploiting this retrieval paradigm, such as web searching and pattern detection. Moreover, nowadays drawing a simple sketch query turns ...
Quadruplet Networks for Sketch-Based Image Retrieval
ICMR '17: Proceedings of the 2017 ACM on International Conference on Multimedia RetrievalFreehand sketches are a simple and powerful tool for communication. They are easily recognized across cultures and suitable for various applications. In this paper, we use deep convolutional neural networks (ConvNets) to address sketch-based image ...
Comments