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Scalable sketch-based image retrieval using color gradient features

Bui, Tu and Collomosse, John (2016) Scalable sketch-based image retrieval using color gradient features In: 2015 IEEE International Conference on Computer Vision Workshop (ICCVW), 07-13 Dec 2015, Santiago, Chile.

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We present a scalable system for sketch-based image retrieval (SBIR), extending the state of the art Gradient Field HoG (GF-HoG) retrieval framework through two technical contributions. First, we extend GF-HoG to enable color-shape retrieval and comprehensively evaluate several early-and late-fusion approaches for integrating the modality of color, considering both the accuracy and speed of sketch retrieval. Second, we propose an efficient inverse-index representation for GF-HoG that delivers scalable search with interactive query times over millions of images. A mobile app demo accompanies this paper (Android).

Item Type: Conference or Workshop Item (Conference Paper)
Divisions : Faculty of Engineering and Physical Sciences > Electronic Engineering
Authors :
Date : 15 February 2016
DOI : 10.1109/ICCVW.2015.133
Uncontrolled Keywords : early-fusion approach, late-fusion approach, color modality integration, inverse-index representation, scalable search, interactive query times, color-shape retrieval, technical contributions, GF-HoG retrieval framework, gradient field HoG retrieval framework, color gradient features, SBIR, scalable sketch-based image retrieval
Depositing User : Melanie Hughes
Date Deposited : 18 Sep 2018 14:09
Last Modified : 18 Sep 2018 14:09

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