Pyramid Histograms of Orientated Gradients for Product Image Retrieval

Shi Jie Jia; Yan Ping Yang; Jian Ying Zhao; Nan Xiao

doi:10.4028/www.scientific.net/AMR.383-390.5712

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HomeAdvanced Materials ResearchAdvanced Materials Research Vols. 383-390Pyramid Histograms of Orientated Gradients for...

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.

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Periodical:

Advanced Materials Research (Volumes 383-390)

Pages:

5712-5716

DOI:

https://doi.org/10.4028/www.scientific.net/AMR.383-390.5712

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Online since:

November 2011

Authors:

Shi Jie Jia, Yan Ping Yang, Jian Ying Zhao, Nan Xiao

Keywords:

Chi-Square Distance, PHOG, Product Image

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