Near-duplicate image fast detection based on annoy-SIFT algorithm

Dakui Li; Minrui Liu; Kai Cui

doi:10.1117/12.3035240

19 July 2024 Near-duplicate image fast detection based on annoy-SIFT algorithm

Dakui Li, Minrui Liu, Kai Cui

Proceedings Volume 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024); 132130A (2024) https://doi.org/10.1117/12.3035240
Event: International Conference on Image Processing and Artificial Intelligence (ICIPAl2024), 2024, Suzhou, China

Abstract

This thesis delves into the significance and challenges of Near-Duplicate Image Detection (NDD) in today's digital media landscape, where the varied manipulation of images complicates accurate identification. By designing and implementing a Near-Duplicate Image Detection method based on the Scale-Invariant Feature Transform (SIFT) algorithm, the paper aims to assist us in quickly and accurately identifying possible image duplication, cropping or other attacks. By detailing the key steps of the SIFT algorithm, including feature point extraction, outlier descriptor rejection strategy, and efficient matching using the Approximate Nearest Neighbor (Annoy) algorithm, the paper demonstrates the advantages of the method in improving detection efficiency and accuracy. In addition, the potential of image feature extraction in dealing with high-resolution image alignment is emphasized, as well as its importance for approximate duplicate detection and image copyright awareness protection. Through comparative experimental validation, the paper demonstrates that approximate image detection algorithms based on SIFT and Annoy algorithm have significant advantages in the field of image matching for large datasets, providing an effective tool for image detection and academic research.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Dakui Li, Minrui Liu, and Kai Cui "Near-duplicate image fast detection based on annoy-SIFT algorithm", Proc. SPIE 13213, International Conference on Image Processing and Artificial Intelligence (ICIPAl 2024), 132130A (19 July 2024); https://doi.org/10.1117/12.3035240

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KEYWORDS

Image processing

Detection and tracking algorithms

Histograms

Feature extraction

Distortion

Digital imaging

Databases

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