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Cross-Scenario Eyeglasses Retrieval via EGYPT Model

Published: 22 June 2015 Publication History

Abstract

In this paper, we present FGSS (Fashion Glasses Search System), an innovative cross-scenario eyeglasses retrieval system which automatically recognizes eyeglasses in real-world photos, e.g. the photo of a fashion girl with a stylish pair of eyeglasses, and retrieves a ranking list of visually similar product instances from the database. We propose a novel segmentation-free framework for FGSS to bridge two search gaps, semantic gap and feature gap, where a new type of keypoint-based scheme called EGYPT is tailored for eyeglasses to facilitate the search. In the EGYPT, we use the hybrid descriptors which combine the shape, color and texture features as a feature representation for eyeglasses. The experimental study on the real-world photo dataset and eyeglasses product dataset demonstrates the effectiveness of EGYPT model.

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Cited By

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  • (2019)One net to rule them all: efficient recognition and retrieval of POI from geo-tagged photosMultimedia Tools and Applications10.1007/s11042-018-6847-y78:17(24347-24371)Online publication date: 1-Sep-2019

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  1. Cross-Scenario Eyeglasses Retrieval via EGYPT Model

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    cover image ACM Conferences
    ICMR '15: Proceedings of the 5th ACM on International Conference on Multimedia Retrieval
    June 2015
    700 pages
    ISBN:9781450332743
    DOI:10.1145/2671188
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    New York, NY, United States

    Publication History

    Published: 22 June 2015

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    Author Tags

    1. cross-scenario
    2. eyeglasses retrieval
    3. keypoint-based scheme

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    • Singapore NRF

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    ICMR '15 Paper Acceptance Rate 48 of 127 submissions, 38%;
    Overall Acceptance Rate 254 of 830 submissions, 31%

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    • (2019)One net to rule them all: efficient recognition and retrieval of POI from geo-tagged photosMultimedia Tools and Applications10.1007/s11042-018-6847-y78:17(24347-24371)Online publication date: 1-Sep-2019

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