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Istituto di linguistica computazionale "Antonio Zampolli"

Torna all'elenco Contributi in atti di convegno anno 2016

Contributo in atti di convegno

Tipo: Contributo in atti di convegno

Titolo: Quantifying the specificity of near-duplicate image classification functions

Anno di pubblicazione: 2016

Formato: Elettronico

Autori: Richard Connor Franco Alberto Cardillo

Affiliazioni autori: University of Strathclyde Istituto di Linguistica Computazionale, CNR

Autori CNR:


Lingua: inglese

Abstract: There are many published methods for detecting similar and near-duplicate images. Here, we consider their use in the context of unsupervised near-duplicate detection, where the task is to find a (relatively small) near-duplicate intersection of two large candidate sets. Such scenarios are of particular importance in forensic near-duplicate detection. The essential properties of a such a function are: performance, sensitivity, and specificity. We show that, as collection sizes increase, then specificity becomes the most important of these, as without very high specificity huge numbers of false positive matches will be identified. This makes even very fast, highly sensitive methods completely useless. Until now, to our knowledge, no attempt has been made to measure the specificity of near-duplicate finders, or even to compare them with each other. Recently, a benchmark set of near-duplicate images has been established which allows such assessment by giving a near-duplicate ground truth over a large general image collection. Using this we establish a methodology for calculating specificity. A number of the most likely candidate functions are compared with each other and accurate measurement of sensitivity vs. specificity are given. We believe these are the first such figures be to calculated for any such function.

Lingua abstract: inglese

Pagine da: 647

Pagine a: 654

Pagine totali: 8

Referee: Sė: Internazionale

Stato della pubblicazione: Published version

Parole chiave:

  • near-duplicate image detection

Congresso nome: 11th International Conference on Computer Vision Theory and Applications

Congresso luogo: Roma

Congresso data: 27-29/02/2016

Congresso rilevanza: Internazionale

Congresso relazione: Contributo

Strutture CNR:


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