Paper Title:
Pyramid Histograms of Orientated Gradients for Product Image Retrieval
  Abstract

Traditional text-based image retrieval methods are hard to meet the requirements of on-line product search. This paper applied Content Based Image Retrieval (CBIR) technologies to e-commerce field and designed a product image retrieval algorithm based on Pyramid Histograms of Orientated Gradients (PHOG) descriptor and chi-square distance. By constructing the image retrieval system, we made retrieval tests on PI100 dataset from Microsoft Research Asia. The experimental results proved the efficiency of this algorithm.

  Info
Periodical
Advanced Materials Research (Volumes 383-390)
Chapter
Chapter 22: Computer-Aided Engineering in Manufacturing
Edited by
Wu Fan
Pages
5712-5716
DOI
10.4028/www.scientific.net/AMR.383-390.5712
Citation
S. J. Jia, Y. P. Yang, J. Y. Zhao, N. Xiao, "Pyramid Histograms of Orientated Gradients for Product Image Retrieval", Advanced Materials Research, Vols. 383-390, pp. 5712-5716, 2012
Online since
November 2011
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Price
$32.00
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