loading
Papers Papers/2022 Papers Papers/2022

Research.Publish.Connect.

Paper

Paper Unlock

Authors: Harshita Seth ; Sonaal Kant and Muktabh Mayank Srivastava

Affiliation: ParallelDots,Inc., India

Keyword(s): Retail Computer Vision, Feature Matching, Neural Networks, Image Matching.

Abstract: Point of Sale Materials(POSM) are the merchandising and decoration items that are used by companies to communicate product information and offers in retail stores. POSMs are part of companies’ retail marketing strategy and are often applied as stylized window displays around retail shelves. In this work, we apply computer vision techniques to the task of verification of POSMs in supermarkets by telling if all desired components of window display are present in a shelf image. We use Convolutional Neural Network based unsupervised keypoint matching as a baseline to verify POSM components and propose a supervised Neural Network based method to enhance the accuracy of baseline by a large margin. We also show that the supervised pipeline is not restricted to the POSM material it is trained on and can generalize. We train and evaluate our model on a private dataset composed of retail shelf images.

CC BY-NC-ND 4.0

Sign In Guest: Register as new SciTePress user now for free.

Sign In SciTePress user: please login.

PDF ImageMy Papers

You are not signed in, therefore limits apply to your IP address 18.117.78.108

In the current month:
Recent papers: 100 available of 100 total
2+ years older papers: 200 available of 200 total

Paper citation in several formats:
Seth, H., Kant, S. and Srivastava, M. M. (2022). Using Keypoint Matching and Interactive Self Attention Network to Verify Retail POSMs. In Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE; ISBN 978-989-758-563-0; ISSN 2795-4943, SciTePress, pages 195-201. DOI: 10.5220/0011087800003209

@conference{improve22,
author={Harshita Seth and Sonaal Kant and Muktabh Mayank Srivastava},
title={Using Keypoint Matching and Interactive Self Attention Network to Verify Retail POSMs},
booktitle={Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE},
year={2022},
pages={195-201},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0011087800003209},
isbn={978-989-758-563-0},
issn={2795-4943},
}

TY - CONF

JO - Proceedings of the 2nd International Conference on Image Processing and Vision Engineering - IMPROVE
TI - Using Keypoint Matching and Interactive Self Attention Network to Verify Retail POSMs
SN - 978-989-758-563-0
IS - 2795-4943
AU - Seth, H.
AU - Kant, S.
AU - Srivastava, M.
PY - 2022
SP - 195
EP - 201
DO - 10.5220/0011087800003209
PB - SciTePress

- Science and Technology Publications, Lda.
RESOURCES

Proceedings

Papers

Authors

Ontology

CONTACTS

Science and Technology Publications, Lda
Avenida de S. Francisco Xavier, Lote 7 Cv. C,
2900-616 Setúbal, Portugal.

Phone: +351 265 520 185 (National fixed network call)
Fax: +351 265 520 186
Email: info@scitepress.org

EXTERNAL LINKS

PRIMORIS

INSTICC

SCITEVENTS

CROSSREF

PROCEEDINGS SUBMITTED FOR INDEXATION BY:

dblp

Ei Compendex

SCOPUS

Semantic Scholar

Google Scholar

Microsoft Academic