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Speed up duplicate/near-duplicate image detection

Proceedings of the Second International Conference on Internet Multimedia Computing and Service, 2010
Finding duplicate and near-duplicate images plays an important role on redundancy reduction for image storage, summarization and recommendation. This paper introduces how to speed up Duplicate/Near-Duplicate(D/ND) image detection. Image clustering was first applied to partition the images into multiple groups by using coarse visual features; pair-wise ...
Chunlei Yang   +3 more
openaire   +1 more source

The detection of duplicates in document image databases

Image and Vision Computing, 1998
Abstract Document imaging technology has developed to the point where it is not uncommon for organizations to scan large numbers of documents into databases with little or no index information. This may be done for archival purposes with an index as simple as a case number, or with the ultimate goal of automatically extracting index information for ...
David S. Doermann   +2 more
openaire   +1 more source

Probabilistic Iterative Duplicate Detection

2005
The problem of identifying approximately duplicate records between databases is known, among others, as duplicate detection or record linkage. To this end, typically either rules or a weighted aggregation of distances between the individual attributes of potential duplicates is used. However, choosing the appropriate rules, distance functions, weights,
Patrick Lehti, Peter Fankhauser
openaire   +2 more sources

Duplicates Detection, Counting, and Removal

1992
The need to detect and eliminate duplicate elements arises in many applications such as the processing of relational database operations, comparison of complex objects, transitive closure, and protocol verification. Given a multiset, the process of detecting duplicates, eliminating them, sorting the remaining distinct elements, and counting the number ...
openaire   +2 more sources

Evaluating Indeterministic Duplicate Detection Results

2012
Duplicate detection is an important process for cleaning or integrating data. Since real-life data is often polluted, detecting duplicates usually comes along with uncertainty. To handle duplicate uncertainty in an appropriate way, indeterministic duplicate detection approaches, i.e.
Panse, Fabian, Ritter, Norbert
openaire   +3 more sources

Unsupervised Duplicate Detection Using Sample Non-Duplicates

2008
Das Problem zu erkennen, dass verschiedene Datenbankeinträge sich auf das selbe reale Objekt beziehen, ist in der Literatur als "duplicate detection" (Duplikaterkennung) oder "record linkage" bekannt. Solche Datenbankeinträge können auch dann Duplikate sein, wenn sie fehlerhafte oder unvollständige Informationen enthalten.
openaire   +2 more sources

Duplicate frames detection

2022
LEVIN MICHAEL S   +5 more
openaire   +2 more sources

Does Deep Learning improve the performance of duplicate bug report detection? An empirical study

Journal of Systems and Software, 2023
Yuan Jiang   +2 more
exaly  

Duplicate Bug Report Detection: How Far Are We?

ACM Transactions on Software Engineering and Methodology, 2023
Venkatesh Vinayakarao   +2 more
exaly  

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