JOURNAL ARTICLE

Sketch-based image retrieval by using saliency

Abstract

A method of sketch-based image retrieval by using saliency is proposed. This paper introduces saliency based on the color contrast into the sketch-based image retrieval to solve the common problems of scale and translation. Moreover, an improved Hausdorff distance is proposed to increase punishment on outliers, which avoids the negative effects caused by the outliers. The experiment result shows that the proposed method has better performance in retrieval accuracy than HD-MHD and TLS-HD.

Keywords:
Sketch Computer science Image retrieval Artificial intelligence Outlier Image (mathematics) Pattern recognition (psychology) Visual Word Contrast (vision) Computer vision Hausdorff distance Algorithm

Metrics

1
Cited By
0.24
FWCI (Field Weighted Citation Impact)
17
Refs
0.56
Citation Normalized Percentile
Is in top 1%
Is in top 10%

Citation History

Topics

Advanced Image and Video Retrieval Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Image Retrieval and Classification Techniques
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition
Visual Attention and Saliency Detection
Physical Sciences →  Computer Science →  Computer Vision and Pattern Recognition

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