Retrieval of flower videos based on a query with multiple species of flowers

Searching, recognizing and retrieving a video of interest from a large collection of a video data is an instantaneous requirement. This requirement has been recognized as an active area of research in computer vision, machine learning and pattern recognition. Flower video recognition and retrieval i...

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Autores principales:	V.K. Jyothi, V.N. Manjunath Aradhya, Y.H. Sharath Kumar, D.S. Guru
Formato:	article
Lenguaje:	EN
Publicado:	KeAi Communications Co., Ltd. 2021
Materias:	Flower region of interest (FRoI) Linear discriminant analysis (LDA) Retrieval of flower videos Multiclass support vector machine Agriculture S
Acceso en línea:	https://doaj.org/article/80a31a8dd0e0436da2b8d1625960f680
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spelling	oai:doaj.org-article:80a31a8dd0e0436da2b8d1625960f6802021-12-02T05:03:31ZRetrieval of flower videos based on a query with multiple species of flowers2589-721710.1016/j.aiia.2021.11.001https://doaj.org/article/80a31a8dd0e0436da2b8d1625960f6802021-01-01T00:00:00Zhttp://www.sciencedirect.com/science/article/pii/S2589721721000325https://doaj.org/toc/2589-7217Searching, recognizing and retrieving a video of interest from a large collection of a video data is an instantaneous requirement. This requirement has been recognized as an active area of research in computer vision, machine learning and pattern recognition. Flower video recognition and retrieval is vital in the field of floriculture and horticulture. In this paper we propose a model for the retrieval of videos of flowers. Initially, videos are represented with keyframes and flowers in keyframes are segmented from their background. Then, the model is analysed by features extracted from flower regions of the keyframe. A Linear Discriminant Analysis (LDA) is adapted for the extraction of discriminating features. Multiclass Support Vector Machine (MSVM) classifier is applied to identify the class of the query video. Experiments have been conducted on relatively large dataset of our own, consisting of 7788 videos of 30 different species of flowers captured from three different devices. Generally, retrieval of flower videos is addressed by the use of a query video consisting of a flower of a single species. In this work we made an attempt to develop a system consisting of retrieval of similar videos for a query video consisting of flowers of different species.V.K. JyothiV.N. Manjunath AradhyaY.H. Sharath KumarD.S. GuruKeAi Communications Co., Ltd.articleFlower region of interest (FRoI)Linear discriminant analysis (LDA)Retrieval of flower videosMulticlass support vector machineAgricultureSENArtificial Intelligence in Agriculture, Vol 5, Iss , Pp 262-277 (2021)
institution	DOAJ
collection	DOAJ
language	EN
topic	Flower region of interest (FRoI) Linear discriminant analysis (LDA) Retrieval of flower videos Multiclass support vector machine Agriculture S
spellingShingle	Flower region of interest (FRoI) Linear discriminant analysis (LDA) Retrieval of flower videos Multiclass support vector machine Agriculture S V.K. Jyothi V.N. Manjunath Aradhya Y.H. Sharath Kumar D.S. Guru Retrieval of flower videos based on a query with multiple species of flowers
description	Searching, recognizing and retrieving a video of interest from a large collection of a video data is an instantaneous requirement. This requirement has been recognized as an active area of research in computer vision, machine learning and pattern recognition. Flower video recognition and retrieval is vital in the field of floriculture and horticulture. In this paper we propose a model for the retrieval of videos of flowers. Initially, videos are represented with keyframes and flowers in keyframes are segmented from their background. Then, the model is analysed by features extracted from flower regions of the keyframe. A Linear Discriminant Analysis (LDA) is adapted for the extraction of discriminating features. Multiclass Support Vector Machine (MSVM) classifier is applied to identify the class of the query video. Experiments have been conducted on relatively large dataset of our own, consisting of 7788 videos of 30 different species of flowers captured from three different devices. Generally, retrieval of flower videos is addressed by the use of a query video consisting of a flower of a single species. In this work we made an attempt to develop a system consisting of retrieval of similar videos for a query video consisting of flowers of different species.
format	article
author	V.K. Jyothi V.N. Manjunath Aradhya Y.H. Sharath Kumar D.S. Guru
author_facet	V.K. Jyothi V.N. Manjunath Aradhya Y.H. Sharath Kumar D.S. Guru
author_sort	V.K. Jyothi
title	Retrieval of flower videos based on a query with multiple species of flowers
title_short	Retrieval of flower videos based on a query with multiple species of flowers
title_full	Retrieval of flower videos based on a query with multiple species of flowers
title_fullStr	Retrieval of flower videos based on a query with multiple species of flowers
title_full_unstemmed	Retrieval of flower videos based on a query with multiple species of flowers
title_sort	retrieval of flower videos based on a query with multiple species of flowers
publisher	KeAi Communications Co., Ltd.
publishDate	2021
url	https://doaj.org/article/80a31a8dd0e0436da2b8d1625960f680
work_keys_str_mv	AT vkjyothi retrievalofflowervideosbasedonaquerywithmultiplespeciesofflowers AT vnmanjunatharadhya retrievalofflowervideosbasedonaquerywithmultiplespeciesofflowers AT yhsharathkumar retrievalofflowervideosbasedonaquerywithmultiplespeciesofflowers AT dsguru retrievalofflowervideosbasedonaquerywithmultiplespeciesofflowers
_version_	1718400660624375808

Retrieval of flower videos based on a query with multiple species of flowers

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