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Proceedings Paper

Visual search engine for product images
Author(s): Xiaofan Lin; Burak Gokturk; Baris Sumengen; Diem Vu
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Paper Abstract

Nowadays there are many product comparison web sites. But most of them only use text information. This paper introduces a novel visual search engine for product images, which provides a brand-new way of visually locating products through Content-based Image Retrieval (CBIR) technology. We discusses the unique technical challenges, solutions, and experimental results in the design and implementation of this system.

Paper Details

Date Published: 28 January 2008
PDF: 9 pages
Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200M (28 January 2008); doi: 10.1117/12.766318
Show Author Affiliations
Xiaofan Lin, Like.com (United States)
Burak Gokturk, Like.com (United States)
Baris Sumengen, Like.com (United States)
Diem Vu, Like.com (United States)


Published in SPIE Proceedings Vol. 6820:
Multimedia Content Access: Algorithms and Systems II
Theo Gevers; Ramesh C. Jain; Simone Santini, Editor(s)

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