Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image Retrieval-Reference-Cited by-同舟云学术

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Object Extraction Using an Edge-Based Feature for Query-by-Sketch Image Retrieval

Published:2015 Issue:1 Volume:E98.D Page:214-217
ISSN:0916-8532
Container-title:IEICE Transactions on Information and Systems
language:en
Short-container-title:IEICE Trans. Inf. ^|^ Syst.

Author:

TAKASU Takuya¹,KUMAGAI Yoshiki²,OHASHI Gosuke¹

Affiliation:

1. Department of Electrical and Electronic Engineering, Shizuoka University

2. Nidek Co. Ltd.

Publisher

Institute of Electronics, Information and Communications Engineers (IEICE)

Subject

Artificial Intelligence,Electrical and Electronic Engineering,Computer Vision and Pattern Recognition,Hardware and Architecture,Software

Link

https://www.jstage.jst.go.jp/article/transinf/E98.D/1/E98.D_2014EDL8147/_pdf

Reference10 articles.

1. [1] D. Forsyth, J. Malik, and R. Wilensky, “Searching for digital pictures,” Scientific American, vol.276, no.6, pp.88-93, 1997.

2. [2] R. Datta, D. Joshi, J. Li, and J.Z. Wang, “Image retrieval: Ideas, influences, and trends of the new age,” ACM Computing Surveys, vol.40, no.2, article 5, pp.1-60, 2008.

3. [3] C.S. Won, D.K. Park, and S.-J. Park, “Efficient use of MPEG-7 edge histogram descriptor,” Etri Journal, vol.24, no.1, pp.23-30, 2002.

4. [4] A. Chalechale, A. Mertins, and G. Naghdy, “Edge image description using angular radial partitioning,” Proc. IEE Vision, Image and Signal Processing, vol.151, no.2, pp.93-101, 2004.

5. [5] M. Eitz, K. Hildebrand, T. Boubekeur, and M. Alexa, “A descriptor for large scale image retrieval based on sketched feature lines,” Symposium on Sketch-Based Interfaces and Modeling, pp.29-36, 2009.

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