Graphic Recognition. Current Trends and Challenges: 11th by Bart Lamiroy, Rafael Dueire Lins

By Bart Lamiroy, Rafael Dueire Lins

This ebook constitutes the completely refereed post-conference court cases of the eleventh overseas Workshop on photos acceptance, GREC 2015, held in Nancy, France, in August 2015. the ten revised complete papers provided have been rigorously reviewed and chosen from 19 preliminary submissions. They comprise either classical and rising issues of images attractiveness, specifically image recognizing; reputation in context; perceptual established techniques and grouping; low point processing; off-line to online and interactive structures; constitution dependent techniques; functionality assessment and flooring truthing; content material dependent retrieval.

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Extra resources for Graphic Recognition. Current Trends and Challenges: 11th International Workshop, GREC 2015, Nancy, France, August 22–23, 2015, Revised Selected Papers

Example text

In order to develop the rest of our rationale, we need to introduce the notion of divergence between two algorithms A1 and A2 : Definition 4 (Disagreement Set). Let A1 and A2 be two algorithms of which the results to a known ground truth Ω are known. , q}. We define the disagreement set between A1 and A2 as Ω,2 D(A1 , A2 ) = (k, l) aΩ,1 k,l = ak,l . We can extend this notation to also express the disagreement between an algorithm and the ground truth, or between ground truths: Ω D (Ai , Ω) = (k, l) aΩ,i k,l = xk,l Ωε D Ω, Ωε = (k, l) xΩ k,l = xk,l Definition 5 (Agreement Set).

We therefore assume Ω contains a proportion of incorrect data. We also assume this proportion is bound by a known value ε ∈ [0, 1]. 34 B. Lamiroy and P. 1 General Approach We would like to know how reliable the ranking of a set of algorithms is when it is based on a ground truth that is reliable up to ε. In order to achieve this, let Ω be the absolute ground truth, to which we have no access other than its approximation Ωε . In other terms, (φ, i) ∈ Φ × I Ωε (φ, i) = Ω(φ, i) |Φ| |I| ≤ε Given Ωε we can use Definition 3 to define ≺Ωε .

7. Comparison of the synthetic image to the original image. The photographic paper that the image is recorded on can contribute to the graininess of the image, and any imperfections of the material used to record the original document will be carried over into the digital format. The process of scanning these photographic papers was undertaken by a private contractor. The images measure approximately 6000 by 905 pixels, have a pixel depth of 24 bits, and on average document a 19 h period. 1 Contrast Correction The first step in creating ground truth data is to perform contrast correction on the source image.

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