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Content based image classification and retrieval using Visual bag of Features and adaboost algorithm

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Title: Content based image classification and retrieval using Visual bag of Features and adaboost algorithm

Authors: Parthiban S., Srinivasa Raghavan S.

Journal: ARPN Journal of Engineering and Applied Sciences

HEC Recognition History
Category From To
Y 2023-07-01 2024-09-30
Y 2022-07-01 2023-06-30
Y 2021-07-01 2022-06-30
X 2020-07-01 2021-06-30

Publisher: Khyber Medical College, Peshawar

Country: Pakistan

Year: 2017

Volume: 12

Issue: 2

Language: English

Categories
Feature Extraction (31) Machine Learning (3478) Image Retrieval (12) Computer Vision (1162) Image Classification (16)

Abstract

This paper proposes the content based classification and retrieval of images using Visual bag of Features and adaboost classifier. The Visual bag of Features has been extracted from the input images and then the visual bag of features is classified using the adaboost classifier algorithm. The proposed algorithm greatly reduces the Storage cost and efficient search using the inverted data structure. The efficiency of the proposed algorithm is tested with Mean Opinion Score (MOS).

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