Sketch-Based Image Retrieval Through Hypothesis-Driven Object Boundary Selection With HLR Descriptor

The appearance gap between sketches and photo- realistic images is a fundamental challenge in sketch-based image retrieval (SBIR) systems. The existence of noisy edges on photo- realistic images is a key factor in the enlargement of the appearance gap and significantly degrades retrieval performance...

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Bibliographic Details
Published in:IEEE transactions on multimedia 2015-07, Vol.17 (7), p.1045-1057
Main Authors: Shu Wang, Jian Zhang, Han, Tony X., Zhenjiang Miao
Format: Article
Language:English
Subjects:
Algorithms
Feature extraction
Image edge detection
Image retrieval
Image segmentation
Indexes
Large-scale sketch retrieval
line segment-based descriptor
Noise
Noise measurement
object boundary selection
Shape
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