Using colour information to understand censorship cards of film archives

Altamura, O.; Berardi, Margherita; Ceci, Michelangelo; Malerba, Donato; Varlaro, Antonio

doi:10.1007/s10032-006-0021-1

Cited by 3 publications

(2 citation statements)

References 26 publications

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“…However, if the image resolution is low, or the text and background interfere with each other, as often occurs with papyri, color processing becomes an excellent alternative to spatial and frequency domain processing. Application examples of color-based document processing include historical document image enhancement [133], denoising, and binarization [185], page object segmentation [9], as well text extraction from typographic documents [173], web images [86], and cartographic maps [184]. Figure 4 illustrates the outcomes of the proposed and comparison methods, highlighting interactions between color and shape.…”

Section: Justificationmentioning

confidence: 99%

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Atanasiu

Marthot-Santaniello

2021

IJDAR

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This article develops theoretical, algorithmic, perceptual, and interaction aspects of script legibility enhancement in the visible light spectrum for the purpose of scholarly editing of papyri texts. Novel legibility enhancement algorithms based on color processing and visual illusions are compared to classic methods in a user experience experiment. (1) The proposed methods outperformed the comparison methods. (2) Users exhibited a broad behavioral spectrum, under the influence of factors such as personality and social conditioning, tasks and application domains, expertise level and image quality, and affordances of software, hardware, and interfaces. No single enhancement method satisfied all factor configurations. Therefore, it is suggested to offer users a broad choice of methods to facilitate personalization, contextualization, and complementarity. (3) A distinction is made between casual and critical vision on the basis of signal ambiguity and error consequences. The criteria of a paradigm for enhancing images for critical applications comprise: interpreting images skeptically; approaching enhancement as a system problem; considering all image structures as potential information; and making uncertainty and alternative interpretations explicit, both visually and numerically.

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Section: Justificationmentioning

confidence: 99%

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Atanasiu

Marthot-Santaniello

2021

IJDAR

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“…Subsequent works have led to the development of a new document analysis system, named WISDOMþþ , with several new features, such as full integration of all modules, graphical user interface for different classes of users, knowledge-based layout analysis, facilities for layout-analysis correction, management of multi-page documents, processing of document images of various size and resolution, color-based image segmentation, integration with commercial OCR and text reading facilities, document storage on database (Oracle 9i TM and MS Access TM ), generation of documents in XML format, and graphical rendering on Web browsers (Altamura et al 2001;Malerba et al 2003;Altamura et al 2007). From the viewpoint of data mining, several new problems have been identified, namely, blocks classification (Altamura et al 1999), layout analysis correction (Berardi et al 2003b), discovery of association rules (Berardi et al 2003a), and contentbased classification of semantic components (Berardi et al 2005).…”

Section: Related Workmentioning

confidence: 99%

Relational Data Mining and Ilp for Document Image Understanding

Ceci

Berardi

Malerba

2007

Applied Artificial Intelligence

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& Document image understanding denotes the recognition of semantically relevant components in the layout extracted from a document image. This recognition process is based on domain-specific knowledge that can be acquired automatically by applying data mining techniques. The spatial dimension of page layout makes classification methods developed in inductive logic programming (ILP) and multi-relational data mining (MRDM) the most suitable candidates for this specific task. In this paper, both approaches are considered and empirically compared on three different data sets consisting of multi-page articles published in an international journal and historical documents. The ILP method is able to learn recursive logical theories that express dependencies between logical components, while the MRDM method extends the na€ ı ıve Bayesian classifier to data stored in multiple tables of a relational database. Experimental results confirm the importance of the spatial dimension for this application and show that the ILP method tends to be conservative with a high (low) percentage of omission (commission) errors, while the probabilistic nature of the MRDM method allows us to tradeoff between the two types of error. Document image analysis is the subfield of digital image processing that aims to convert document images to symbolic form for modification, storage, retrieval, reuse, and transmission (Nagy 2000). This conversion is a complex process articulated into several stages. Initial processing steps include binarization, skew detection, noise filtering, and segmentation. Then document image is decomposed into several constituent items which represent coherent components of the documents (e.g., text lines or halftone images), without any knowledge of the specific format. This layout analysis step precedes the interpretation or understanding of document images, whose aim is that of recognizing semantically relevant layout components (e.g., title and abstract) as well as extracting abstract relationships between layout components (e.g., reading order).

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EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy

Fumarola

Pio

Felle

et al. 2014

Communications in Computer and Information Science

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Classical Greek and Latin culture is the very foundation of the identity of modern Europe. Today, a variety of modern subjects and disciplines have their roots in the classical world: from philosophy to architecture, from geometry to law. However, only a small fraction of the total production of texts from ancient Greece and Rome has survived up to the present days, leaving many ample gaps in the historiographic records. Epigraphy, which is the study of inscriptions (epigraphs), aims at plug this gap. In particular, the goal of Epigraphy is to clarify the meanings of epigraphs, classifying their uses according to dates and cultural contexts, and drawing conclusions about the writing and the writers. Indeed, they are a kind of cultural heritage for which several research projects have recently been promoted for the purposes of preservation, storage, indexing and on-line usage. In this paper, we describe the system EDB (Epigraphic Database Bari) which stores about 30,000 Christian inscriptions of Rome, including those published in the Inscriptiones Christianae Vrbis Romae septimo saeculo antiquiores, nova series editions. EDB provides, in addition to the possibility of storing metadata, the possibility of i) supporting information retrieval through a thesaurus based query engine, ii) supporting time-based analysis of epigraphs in order to detect and represent novelties, and iii) geo-referencing epigraphs by exploiting a spatial database

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Using colour information to understand censorship cards of film archives

Cited by 3 publications

References 26 publications

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Personalizing image enhancement for critical visual tasks: improved legibility of papyri using color processing and visual illusions

Relational Data Mining and Ilp for Document Image Understanding

EDB: Knowledge Technologies for Ancient Greek and Latin Epigraphy

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