Semantic Search with Combination Impression and Image Feature Query

Desi Amirullah, Lipantri Mashur Gultom

Abstract

In this study we propose a new approach in the semantic image search system, namely the combination of images and impressions query that display results in the form of images that contain impressions. In previous studies, focusing on semantic image search using combining color and shape features into a single query which displays the results of images and impressions, and semantic search impression with mecahanism weighting combination color feature and image feature as query. In this study, the dataset images that we used were 142 Malay songket motifs, and each songket motif contained impressions. In this study, the dataset and image query were extracted into metadata using the Hu Moments Invariant method. Based on the results obtained, we can conclude a success rate of 53% by testing of 10 query combinations.

Download


Paper Citation


in Harvard Style

Amirullah D. and Gultom L. (2020). Semantic Search with Combination Impression and Image Feature Query. In Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE, ISBN 978-989-758-520-3, pages 105-109. DOI: 10.5220/0010352501050109


in Bibtex Style

@conference{icae20,
author={Desi Amirullah and Lipantri Mashur Gultom},
title={Semantic Search with Combination Impression and Image Feature Query},
booktitle={Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE,},
year={2020},
pages={105-109},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010352501050109},
isbn={978-989-758-520-3},
}


in EndNote Style

TY - CONF

JO - Proceedings of the 3rd International Conference on Applied Engineering - Volume 1: ICAE,
TI - Semantic Search with Combination Impression and Image Feature Query
SN - 978-989-758-520-3
AU - Amirullah D.
AU - Gultom L.
PY - 2020
SP - 105
EP - 109
DO - 10.5220/0010352501050109