Colour trend analysis using machine learning and histogram

Shirin Abolfath Zadeh; Celestine Iwendi; Ikpenmosa Uhumuavbi; Z. Boulouard

doi:10.1007/978-3-031-37164-6_33

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Colour trend analysis using machine learning and histogram

Conference proceeding

Peer reviewed

Colour trend analysis using machine learning and histogram

Shirin Abolfath Zadeh, Celestine Iwendi, Ikpenmosa Uhumuavbi and Z. Boulouard

Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering New Artificial Intelligence and the Internet of Things Based Perspective and Solutions, pp.437-449

Lecture Notes in Networks and Systems, 735

ICACTCE23 - International Conference on Advances in Communication Technology and Computer Engineering (Bolton, United Kingdom, 24/02/2023–25/02/2023)

24/09/2023

DOI: https://doi.org/10.1007/978-3-031-37164-6_33

Abstract

Fashion

Colour

Trend

K-Means

Clustering

Predict

Histogram

python.

Machine Learning

Big Data

A significant aspect of colour prediction is the process of detecting a colour palette that represents a collection at a fashion show. People do this manually, but often with too many images, it becomes a hard task. An automated machine-learning method has been developed to generate colour palettes for fashion shows. the model was obtained by fashion pictures dataset, representing each of 48 images of her from a particular fashion show. This work can be extended to analyse millions of images from social media feeds and provide data driven insights for colour prediction.

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Title: Colour trend analysis using machine learning and histogram
Creators - without role: Shirin Abolfath Zadeh - University of Greater Manchester
Celestine Iwendi - University of Greater Manchester
Ikpenmosa Uhumuavbi - University of Greater Manchester
Z. Boulouard - University of Hassan II Casablanca
Contributors: Celestine Iwendi (Editor) - University of Greater Manchester
Z. Boulouard (Editor) - University of Hassan II Casablanca
N. Kryvinska (Editor)
Publication Details: Proceedings of ICACTCE'23 — The International Conference on Advances in Communication Technology and Computer Engineering New Artificial Intelligence and the Internet of Things Based Perspective and Solutions, pp.437-449
Conference: ICACTCE23 - International Conference on Advances in Communication Technology and Computer Engineering (Bolton, United Kingdom, 24/02/2023–25/02/2023)
Series: Lecture Notes in Networks and Systems; 735
Publisher: Springer
Format: text
Identifiers: 999906908841; 2367-3370; 2367-3389; 9783031371639; 2367-3389
Academic Unit: Computing; Games; Law
Language: English
Resource Type: Conference proceeding
Comment: Paper given at and published in the Proceedings of ICACTCE23 24-25th February 2023, University of Bolton
Generative AI Statement: https://icactce-conf.com/

Colour trend analysis using machine learning and histogram

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