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Research on Commodity Image Data Compression Based on SVD Algorithm

Published: 18 August 2021 Publication History

Abstract

In recent years, with the development of E-commerce economy, growth of multimedia information data is very rapid. The data without image compression processing will be limited in processing and storage, and it is not conducive to the use of machine learning for data mining. In this paper, SVD (Singular Value Decomposition) image compression algorithm is used to reduce the dimension of the images in the commodity image data set of Harbin University of Commerce, and preserve the image features. This study mainly uses the scikit-learn open source machine learning library written in Python language, combined with the function of the module, to write the target algorithm. The experimental results show that different commodity images in the dataset can achieve 0.7-0.9 compression ratio through the algorithm, while maintaining good image features. It is significant to improve the efficiency of image data transmission and the machine learning research for this dataset.

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ICAIIS 2021: 2021 2nd International Conference on Artificial Intelligence and Information Systems
May 2021
2053 pages
ISBN:9781450390200
DOI:10.1145/3469213
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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Association for Computing Machinery

New York, NY, United States

Publication History

Published: 18 August 2021

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Author Tags

  1. Image compression
  2. SVD algorithm
  3. dimensionality reduction
  4. machine learning

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