Dec 18, 2018 · This paper presents a method involving segmented minhash algorithm for indexing near-duplicate images. The method initially enhances the quality ...
Jan 1, 2019 · This paper presents a method involving segmented minhash algorithm for indexing near-duplicate images. The method initially enhances the quality ...
The proposed scheme is more efficient in terms of performance for image storage, deduplication checking, and near-duplicate detection and security.
This paper presents a method involving segmented minhash algorithm for indexing near-duplicate images. The method initially enhances the quality of query and ...
millions of signatures in a second and makes the signature extraction and detection very. Page 4. Detecting near-duplicate images using segmented minhash ...
Jun 23, 2009 · This paper (PDF) gives a compact image fingerprinting algorithm that is suitable for finding duplicate images quickly and without storing much data.
Jun 1, 2018 · MinHash is a widely-used method for efficiently estimating the amount of similarity between documents for Near-Duplicate Detection (NDD).
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What is sectional MinHash for near duplicate detection?
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Chum et al. proposed a near-duplicate image detection method using the min-Hash algorithm. [35]. The min Hash method stored only a small constant amount ...
In this paper, we are interested in near duplicate image detection (NDID), specifically in the min-Hash algorithm. The algorithm originates from text retrieval ...
Missing: segmented | Show results with:segmented
Sep 1, 2022 · The proposed sectional Min–Max Hash method aims to reduce the hashing time while preserving and improving the accuracy of detecting near- ...