Paper
28 January 2008 Visual search engine for product images
Xiaofan Lin, Burak Gokturk, Baris Sumengen, Diem Vu
Author Affiliations +
Proceedings Volume 6820, Multimedia Content Access: Algorithms and Systems II; 68200M (2008) https://doi.org/10.1117/12.766318
Event: Electronic Imaging, 2008, San Jose, California, United States
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.
© (2008) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Xiaofan Lin, Burak Gokturk, Baris Sumengen, and Diem Vu "Visual search engine for product images", Proc. SPIE 6820, Multimedia Content Access: Algorithms and Systems II, 68200M (28 January 2008); https://doi.org/10.1117/12.766318
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CITATIONS
Cited by 20 scholarly publications.
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KEYWORDS
Visualization

Feature extraction

Content based image retrieval

Image visualization

Imaging systems

Distance measurement

Image resolution

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