2013 PalettePowerEnablingVisualSearc

• (Bhardwaj et al., 2013) ⇒ Anurag Bhardwaj, Atish Das Sarma, Wei Di, Raffay Hamid, Robinson Piramuthu, and Neel Sundaresan. (2013). “Palette Power: Enabling Visual Search through Colors.” In: Proceedings of the 19th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. ISBN:978-1-4503-2174-7 doi:10.1145/2487575.2488201

Subject Headings:

Cited By

• http://scholar.google.com/scholar?q=%222013%22+Palette+Power%3A+Enabling+Visual+Search+through+Colors
• http://dl.acm.org/citation.cfm?id=2487575.2488201&preflayout=flat#citedby

Quotes

Author Keywords

• E-commerce; image search; search engine; [[selection process; visual search

Abstract

With the explosion of mobile devices with cameras, online search has moved beyond text to other modalities like images, voice, and writing. For many applications like Fashion, image-based search offers a compelling interface as compared to text forms by better capturing the visual attributes. In this paper we present a simple and fast search algorithm that uses color as the main feature for building visual search. We show that low level cues such as color can be used to quantify image similarity and also to discriminate among products with different visual appearances. We demonstrate the effectiveness of our approach through a mobile shopping application\footnote{eBay Fashion App available at https://itunes.apple.com/us/app/ebay-fashion / id378358380? mt=8 and eBay image swatch is the feature indexing millions of real world fashion images}. Our approach outperforms several other state-of-the-art image retrieval algorithms for large scale image data.

References

;

	Author	volume	Date Value	title	type	journal	titleUrl	doi	note	year
2013 PalettePowerEnablingVisualSearc	Atish Das Sarma Neel Sundaresan Anurag Bhardwaj Wei Di Raffay Hamid Robinson Piramuthu			Palette Power: Enabling Visual Search through Colors				10.1145/2487575.2488201		2013