The document summarizes research activities and tools developed by the National Center for Scientific Research "Demokritos" for the IMPACT project. It describes tools for border detection, page curl detection, and character segmentation. Evaluation results for the border detection and page curl detection tools on large datasets are provided.
The document discusses OCR for typewritten documents. It describes the IMPACT project, which is supported by the European Community under the FP7 ICT Work Programme and coordinated by the National Library of the Netherlands. The presentation covers the challenges of typewritten documents for OCR, the specific approaches used in the IMPACT project's TOCR system, and some example results showing its performance.
The document discusses digitization workflows for enhancing and segmenting documents for optical character recognition (OCR). It describes steps for image enhancement including border removal, page curl removal, and correction of arbitrary warping. It then discusses standalone methods for segmenting text lines, words, and characters without relying on character recognition. These include a hybrid text line segmenter and density-based word segmenter that have been evaluated on historical documents with promising results. The techniques allow digitization of documents with non-standard words or layouts.
Tomaž Erjavec discusses the development of language resources for historical Slovene, including transcribed texts, an annotated corpus, and a historical lexicon. Over 10 million words of historical Slovene texts have been transcribed. A reference corpus of 300,000 words from the 15th-19th centuries was annotated for part-of-speech and modern equivalents. An initial lexicon of 3,000 entries was expanded to over 20,000 entries incorporating forms from the annotated corpus. The resources aim to support research on and processing of historical Slovene texts.
- CLARIN aims to create a federated infrastructure providing researchers access to digital language data and tools through a single sign-on. It seeks to integrate existing resources across Europe to advance humanities and social sciences research.
- CLARIN's success requires collaboration with libraries, which hold vast amounts of printed materials indispensable for researchers but face obstacles like copyright and lack of standardization.
- The IMPACT project's work on optical character recognition technology and goal of an OCR center of expertise can help address a key challenge and bring CLARIN and libraries closer through continued collaboration beyond the project.
The document discusses linguistic resources created for improving access to 16th century German texts. It describes how the IMPACT project adapted resources like lexicons to account for the differences between historical and modern German. A groundtruth corpus spanning 1500-1950 was created, as well as a hypothetical lexicon of rule-based variants and a manually verified lexicon to map historical words to their modern equivalents. These resources were able to cover 30% of 16th century vocabulary and improve optical character recognition.
The document introduces the IMPACT Centre of Competence, a not-for-profit organization that aims to advance digitization of historical materials. It provides tools, services, and testing facilities for practitioners in content institutions, researchers, and industry. Membership offers benefits like access to datasets and tools, implementation support, and knowledge sharing. The Centre will be sustained through membership fees and contributions to support continued collaboration in the community.
The document discusses named entity (NE) recognition in digitized historical texts. It describes how NEs like people, locations and organizations can be identified during optical character recognition (OCR) and retrieved for users. The key steps include building an NE lexicon database by collecting data, tagging and enriching NEs with metadata, and linking variant names. This helps improve OCR quality and allows users to find NEs despite spelling variations in historical texts.
The document discusses OCR for typewritten documents. It describes the IMPACT project, which is supported by the European Community under the FP7 ICT Work Programme and coordinated by the National Library of the Netherlands. The presentation covers the challenges of typewritten documents for OCR, the specific approaches used in the IMPACT project's TOCR system, and some example results showing its performance.
The document discusses digitization workflows for enhancing and segmenting documents for optical character recognition (OCR). It describes steps for image enhancement including border removal, page curl removal, and correction of arbitrary warping. It then discusses standalone methods for segmenting text lines, words, and characters without relying on character recognition. These include a hybrid text line segmenter and density-based word segmenter that have been evaluated on historical documents with promising results. The techniques allow digitization of documents with non-standard words or layouts.
Tomaž Erjavec discusses the development of language resources for historical Slovene, including transcribed texts, an annotated corpus, and a historical lexicon. Over 10 million words of historical Slovene texts have been transcribed. A reference corpus of 300,000 words from the 15th-19th centuries was annotated for part-of-speech and modern equivalents. An initial lexicon of 3,000 entries was expanded to over 20,000 entries incorporating forms from the annotated corpus. The resources aim to support research on and processing of historical Slovene texts.
- CLARIN aims to create a federated infrastructure providing researchers access to digital language data and tools through a single sign-on. It seeks to integrate existing resources across Europe to advance humanities and social sciences research.
- CLARIN's success requires collaboration with libraries, which hold vast amounts of printed materials indispensable for researchers but face obstacles like copyright and lack of standardization.
- The IMPACT project's work on optical character recognition technology and goal of an OCR center of expertise can help address a key challenge and bring CLARIN and libraries closer through continued collaboration beyond the project.
The document discusses linguistic resources created for improving access to 16th century German texts. It describes how the IMPACT project adapted resources like lexicons to account for the differences between historical and modern German. A groundtruth corpus spanning 1500-1950 was created, as well as a hypothetical lexicon of rule-based variants and a manually verified lexicon to map historical words to their modern equivalents. These resources were able to cover 30% of 16th century vocabulary and improve optical character recognition.
The document introduces the IMPACT Centre of Competence, a not-for-profit organization that aims to advance digitization of historical materials. It provides tools, services, and testing facilities for practitioners in content institutions, researchers, and industry. Membership offers benefits like access to datasets and tools, implementation support, and knowledge sharing. The Centre will be sustained through membership fees and contributions to support continued collaboration in the community.
The document discusses named entity (NE) recognition in digitized historical texts. It describes how NEs like people, locations and organizations can be identified during optical character recognition (OCR) and retrieved for users. The key steps include building an NE lexicon database by collecting data, tagging and enriching NEs with metadata, and linking variant names. This helps improve OCR quality and allows users to find NEs despite spelling variations in historical texts.
The document outlines the roadmap for updates and new features in the Taverna workflow system, including releasing versions 2.3 and 3.0 with improvements to the user interface, support for new standards, and integration with additional technologies and domains like clouds, semantic web, and biodiversity. It also discusses new plugins and tools being developed to enhance provenance capture, support additional file formats, and provide domain-specific functionality for astronomy, life sciences, and data mining.
The document announces an IMPACT-myGrid-Hackathon event scheduled for November 14-15, 2011 at the University of Manchester. The event website provides additional information and is located at http://impact-mygrid-taverna-hackathon.wikispaces.com/. The hackathon focused on myGrid and Taverna tools.
The IMPACT Interoperability Framework provides a way to integrate various OCR and other software components into reusable workflows. It uses a Java-based architecture with web services and the open source Taverna workflow system. Developers can integrate new command line tools as web services with minimal effort, and workflows can then be built, shared, and executed through a web portal. The framework has been evaluated for scalability and is intended to support a community around sharing workflows and experiments.
The document discusses ABBYY's involvement in the IMPACT project. It states that ABBYY is the OCR technology provider for IMPACT members. It also notes that ABBYY improved its core OCR technologies for the recognition of old documents through its work on the IMPACT project, focusing on areas like image pre-processing, segmentation, character recognition, and export formats. The presentation provides examples of how ABBYY's technologies were enhanced between versions 9 and 10 for tasks like binarization, layout analysis, and character recognition of historical documents.
This document summarizes the results of experiments examining the effect of scanning parameters like color, resolution, and binarization method on OCR accuracy. The experiments found that bitonal images produced the best OCR results on average but the optimal method varied between images. Higher resolution images did not necessarily improve OCR accuracy. The quality of archival images was also found to affect OCR performance. The document concludes different scanning choices may be suitable depending on the document type and quality.
Paul Fogel of the California Digital Library examined OCR quality at scale using the corpus from the HathiTrust and its member institutions. The document discusses issues that arise when performing OCR at a massive scale, including the challenges of indexing very large document collections, supporting many different languages, and correcting the inevitable OCR errors produced when scanning and recognizing text from millions of pages.
The document discusses the transformation of humanities research through digital technologies and optical character recognition (OCR). It describes efforts to extract over 2,000 years of Latin text from digitized books and track linguistic changes over time using machine learning techniques. Computational analysis is helping scholars build dynamic digital editions and study underrepresented languages on a massive scale.
The document describes CONCERT, an adaptive collaborative correction platform for digitized text. It uses feedback from users to improve optical character recognition and increase productivity of post-correction. Key features include adaptive OCR, quality control tools, productivity tools like games to motivate volunteers, and monitoring of users to prevent data corruption. It has been used successfully in several library digitization projects worldwide.
The document discusses an analysis of optical character recognition (OCR) results for historical documents. It describes creating language and error profiles to characterize documents, including spelling variations and common OCR mistakes. These profiles help adapt OCR and post-processing to each document. The document also presents an interactive system to efficiently correct OCR errors in historical texts by utilizing the document profiles.
The document provides an overview of language work being done in the IMPACT project to improve optical character recognition (OCR) of historical documents. It discusses the development of lexicons for various languages to incorporate historical spelling variations that can help OCR more accurately recognize words. Computational tools are being developed and adapted to assist with building lexicons from corpus materials and dictionaries. Challenges include a lack of resources for some languages and dealing with special characters. The work involves collaboration between institutes to share knowledge and resources for lexicon building across languages.
The document discusses tools developed by the National Center for Scientific Research (NCSR) called IMPACT tools for detecting borders, removing borders, and splitting pages of document images. It provides evaluation results for the IMPACT tools and other tools on two large datasets showing the IMPACT tools achieve high precision, recall, and F-measure for border removal and page splitting tasks.
The document discusses Page Curl Correction, a tool developed by NCSR IMPACT to correct page curl in scanned document images. It contains two steps: a coarse correction followed by an optional fine correction based on text line and word segmentation. The tool was tested on a dataset of over 14,000 images, achieving an 87.78% correction rate compared to 80.87% for another system called BookRestorer. A study evaluated the performance of different document image dewarping techniques.
This document describes a character segmentation tool developed by the National Center for Scientific Research in Greece. The tool takes an image of a word as input and outputs multiple segmentation variations of the characters in the word encoded in XML format. It calculates the skeleton of the word, detects feature points, and constructs all possible segmentation paths to segment the characters. Segmentation paths are generated using different minimum and maximum character width ratios. The output includes variations with and without applied noise removal. Segmentations are evaluated based on height to width ratios to identify the highest confidence result.
The document describes word spotting tools developed by the National Center for Scientific Research for historical document indexing and search. The tools allow users to search historical documents by keyword, example word image, or free text query. The tools segment documents, extract word features, match queries to words, and provide results to users, which can be refined through feedback. Evaluation on two books showed user feedback and hybrid features improved accuracy over baselines. The tools provide access to historical documents without optical character recognition.
The document outlines the roadmap for updates and new features in the Taverna workflow system, including releasing versions 2.3 and 3.0 with improvements to the user interface, support for new standards, and integration with additional technologies and domains like clouds, semantic web, and biodiversity. It also discusses new plugins and tools being developed to enhance provenance capture, support additional file formats, and provide domain-specific functionality for astronomy, life sciences, and data mining.
The document announces an IMPACT-myGrid-Hackathon event scheduled for November 14-15, 2011 at the University of Manchester. The event website provides additional information and is located at http://impact-mygrid-taverna-hackathon.wikispaces.com/. The hackathon focused on myGrid and Taverna tools.
The IMPACT Interoperability Framework provides a way to integrate various OCR and other software components into reusable workflows. It uses a Java-based architecture with web services and the open source Taverna workflow system. Developers can integrate new command line tools as web services with minimal effort, and workflows can then be built, shared, and executed through a web portal. The framework has been evaluated for scalability and is intended to support a community around sharing workflows and experiments.
The document discusses ABBYY's involvement in the IMPACT project. It states that ABBYY is the OCR technology provider for IMPACT members. It also notes that ABBYY improved its core OCR technologies for the recognition of old documents through its work on the IMPACT project, focusing on areas like image pre-processing, segmentation, character recognition, and export formats. The presentation provides examples of how ABBYY's technologies were enhanced between versions 9 and 10 for tasks like binarization, layout analysis, and character recognition of historical documents.
This document summarizes the results of experiments examining the effect of scanning parameters like color, resolution, and binarization method on OCR accuracy. The experiments found that bitonal images produced the best OCR results on average but the optimal method varied between images. Higher resolution images did not necessarily improve OCR accuracy. The quality of archival images was also found to affect OCR performance. The document concludes different scanning choices may be suitable depending on the document type and quality.
Paul Fogel of the California Digital Library examined OCR quality at scale using the corpus from the HathiTrust and its member institutions. The document discusses issues that arise when performing OCR at a massive scale, including the challenges of indexing very large document collections, supporting many different languages, and correcting the inevitable OCR errors produced when scanning and recognizing text from millions of pages.
The document discusses the transformation of humanities research through digital technologies and optical character recognition (OCR). It describes efforts to extract over 2,000 years of Latin text from digitized books and track linguistic changes over time using machine learning techniques. Computational analysis is helping scholars build dynamic digital editions and study underrepresented languages on a massive scale.
The document describes CONCERT, an adaptive collaborative correction platform for digitized text. It uses feedback from users to improve optical character recognition and increase productivity of post-correction. Key features include adaptive OCR, quality control tools, productivity tools like games to motivate volunteers, and monitoring of users to prevent data corruption. It has been used successfully in several library digitization projects worldwide.
The document discusses an analysis of optical character recognition (OCR) results for historical documents. It describes creating language and error profiles to characterize documents, including spelling variations and common OCR mistakes. These profiles help adapt OCR and post-processing to each document. The document also presents an interactive system to efficiently correct OCR errors in historical texts by utilizing the document profiles.
The document provides an overview of language work being done in the IMPACT project to improve optical character recognition (OCR) of historical documents. It discusses the development of lexicons for various languages to incorporate historical spelling variations that can help OCR more accurately recognize words. Computational tools are being developed and adapted to assist with building lexicons from corpus materials and dictionaries. Challenges include a lack of resources for some languages and dealing with special characters. The work involves collaboration between institutes to share knowledge and resources for lexicon building across languages.
The document discusses tools developed by the National Center for Scientific Research (NCSR) called IMPACT tools for detecting borders, removing borders, and splitting pages of document images. It provides evaluation results for the IMPACT tools and other tools on two large datasets showing the IMPACT tools achieve high precision, recall, and F-measure for border removal and page splitting tasks.
The document discusses Page Curl Correction, a tool developed by NCSR IMPACT to correct page curl in scanned document images. It contains two steps: a coarse correction followed by an optional fine correction based on text line and word segmentation. The tool was tested on a dataset of over 14,000 images, achieving an 87.78% correction rate compared to 80.87% for another system called BookRestorer. A study evaluated the performance of different document image dewarping techniques.
This document describes a character segmentation tool developed by the National Center for Scientific Research in Greece. The tool takes an image of a word as input and outputs multiple segmentation variations of the characters in the word encoded in XML format. It calculates the skeleton of the word, detects feature points, and constructs all possible segmentation paths to segment the characters. Segmentation paths are generated using different minimum and maximum character width ratios. The output includes variations with and without applied noise removal. Segmentations are evaluated based on height to width ratios to identify the highest confidence result.
The document describes word spotting tools developed by the National Center for Scientific Research for historical document indexing and search. The tools allow users to search historical documents by keyword, example word image, or free text query. The tools segment documents, extract word features, match queries to words, and provide results to users, which can be refined through feedback. Evaluation on two books showed user feedback and hybrid features improved accuracy over baselines. The tools provide access to historical documents without optical character recognition.
This document presents a method for enhancing latent fingerprint images acquired using optical coherence tomography (OCT). OCT produces 3D volume data of fingerprints that is processed into 2D images, but these images suffer from speckle noise. The paper proposes using a wavelet transform algorithm based on phase preservation to denoise the images. Experimental results on fingerprints collected from 20 individuals show that applying the denoising algorithm improves feature extraction accuracy compared to non-denoised images, with a lower equal error rate and false match rate. This demonstrates that the denoising method enhances fingerprint image quality and improves the performance of fingerprint recognition.
Speeding up information extraction programs: a holistic optimizer and a learn...INRIA-OAK
A wealth of information produced by individuals and organizations is expressed in natural language text. Text lacks the explicit structure that is necessary to support rich querying and analysis. Information extraction systems are sophisticated software tools to discover structured information in natural language text. Unfortunately, information extraction is a challenging and time-consuming task.
In this talk, I will first present our proposal to optimize information extraction programs. It consists of a holistic approach that focuses on: (i) optimizing all key aspects of the information extraction process collectively and in a coordinated manner, rather than focusing on individual subtasks in isolation; (ii) accurately predicting the execution time, recall, and precision for each information extraction execution plan; and (iii) using these predictions to choose the best execution plan to execute a given information extraction program.
Then, I will briefly present a principled, learning-based approach for ranking documents according to their potential usefulness for an extraction task. Our online learning-to-rank methods exploit the information collected during extraction, as we process new documents and the fine-grained characteristics of the useful documents are revealed. Then, these methods decide when the ranking model should be updated, hence significantly improving the document ranking quality over time.
This is joint work with Gonçalo Simões, INESC-ID and IST/University of Lisbon, and Pablo Barrio and Luis Gravano from Columbia University, NY.
This document outlines the syllabus for a multi-robot systems course. It will cover theories and concepts on Mondays and Wednesdays, with lab work on Fridays where students will build their own robot. The course wiki and SVN repository contain project materials. Students will complete a project, attend lectures and labs, and give a final presentation. The goal is for students to learn about robotics challenges, building robots with sensors and software, and coordinating multi-robot systems.
Workshop Chemical Robotics ChemAI 231116.pptxMarco Tibaldi
This document summarizes a presentation on AI-driven chemical discovery. It discusses how AI, such as language models and robotics, can help digitize and automate operations in scientific research labs. Specifically, it mentions that up to 70% of experimentation is currently not reproducible and AI could help address this issue. The presentation then provides examples of how AI is being used for tasks like chemical reaction prediction, extracting procedures from text, and automating synthesis experiments. It argues that foundation models will further accelerate scientific research tasks and discusses a vision for an AI-enabled lab of the future with automated documentation.
Metrics for Effort/Cost Estimation of Mobile apps developmentGemma Catolino
This document discusses metrics for estimating the effort and cost of developing mobile apps. It proposes defining a set of early metrics that can be extracted before full development begins. These early metrics are mapped to guidelines for estimating Cosmic Function Points (CFP). An empirical study evaluates the accuracy of CFP estimations based on the early metrics by comparing them to actual CFP values for 13 mobile apps. The results show the early estimations were reasonably close to the actual values, with mean magnitude relative error of 0.2 and prediction of actual values within 25% for 61% of apps. Future work involves additional validation with companies and gathering more project data.
The document discusses opportunities for VLSI designers in various industries. It describes the NCRAV 2016 conference which aims to provide a platform for students, researchers and professionals to share ideas in VLSI design and related fields. It then lists some topic areas in VLSI design that will be covered, and outlines the revenues and typical end equipment targeted by the semiconductor industry.
Acoustic Scene Classification by using Combination of MODWPT and Spectral Fea...ijtsrd
Acoustic Scene Classification ASC is classified audio signals to imply about the context of the recorded environment. Audio scene includes a mixture of background sound and a variety of sound events. In this paper, we present the combination of maximal overlap wavelet packet transform MODWPT level 5 and six sets of time domain and frequency domain features are energy entropy, short time energy, spectral roll off, spectral centroid, spectral flux and zero crossing rate over statistic values average and standard deviation. We used DCASE Challenge 2016 dataset to show the properties of machine learning classifiers. There are several classifiers to address the ASC task. We compare the properties of different classifiers K nearest neighbors KNN , Support Vector Machine SVM , and Ensembles Bagged Trees by using combining wavelet and spectral features. The best of classification methodology and feature extraction are essential for ASC task. In this system, we extract at level 5, MODWPT energy 32, relative energy 32 and statistic values 6 from the audio signal and then extracted feature is applied in different classifiers. Mie Mie Oo | Lwin Lwin Oo "Acoustic Scene Classification by using Combination of MODWPT and Spectral Features" Published in International Journal of Trend in Scientific Research and Development (ijtsrd), ISSN: 2456-6470, Volume-3 | Issue-5 , August 2019, URL: https://www.ijtsrd.com/papers/ijtsrd27992.pdfPaper URL: https://www.ijtsrd.com/computer-science/multimedia/27992/acoustic-scene-classification-by-using-combination-of-modwpt-and-spectral-features/mie-mie-oo
Semantically-Enabling the Web of Things: The W3C Semantic Sensor Network Onto...Laurent Lefort
Presentation of the SSN XG results at eResearch Australia 2011 https://eresearchau.files.wordpress.com/2012/06/74-semantically-enabling-the-web-of-things-the-w3c-semantic-sensor-network-ontology.pdf
How to valuate and determine standard essential patentsMIPLM
This document discusses methods for valuing and determining standard essential patents (SEPs). It notes that while many patents are declared as SEPs, studies show that only 20-28% are actually essential. Determining essentiality is an expensive and subjective process. The document proposes using a data-driven approach combining semantic analysis of patent claims and standards documents with characteristics like inventor participation to predict SEP essentiality in a more objective manner. This allows identifying potential SEP portfolios and their probabilistic essentiality likelihoods.
Ultrasonic ILI Removes Crack Depth-Sizing LimitsNDT Global
This white paper looks at how the new generation of high-resolution inspection robots overcame the crack-depth sizing limit of previous-generation UT for detection, sizing and location of cracks and crack-like defects in the body and welds of transmission pipelines. Supporting test data is also provided.
The document proposes techniques to detect and remove Gaussian, impulse, and mixed noise from MR brain images. It presents an architecture that uses Extreme Learning Machine for noise detection and separate filters for Gaussian and impulse noise removal. Experimental results show that the proposed filtering technique outperforms existing methods like mean, bilateral, and non-local mean filters in terms of metrics like PSNR, MSE, and SSIM for denoising images with different noise levels and types.
Similar to IMPACT Final Conference - Research Parallel Sessions02 research session_ncsr_tools (20)
Slides of the paper Deep Learning-Based Morphological Taggers and Lemmatizers for Annotating Historical Texts by Helmut Schmid at the 3rd Edition of the DATeCH2019 International Conference
This document discusses using text models to improve the accuracy of optical character recognition (OCR) on Chinese rare books. It conducted experiments using n-gram, backward/forward n-gram, and LSTM models on OCR data from ancient medicine books. The backward and forward 4-gram model achieved the highest correction rate at 97.57%. Mixing the LSTM 6-gram model with the OCR's top 5 candidates and probability of the top candidate further improved accuracy to 97.71%, demonstrating that combining text models with OCR probabilities can better correct OCR errors than text models alone. In conclusion, text models are effective for increasing OCR accuracy on rare books, with backward/forward 4-gram and LSTM 6-gram
Slides of the paper Turning Digitised Material into a Diachronic Corpus: Metadata Challenges in the Nederlab Project by Katrien Depuydt and Hennie Brugman at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Standoff Annotation for the Ancient Greek and Latin Dependency Treebank by Giuseppe Celano at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Using lexicography to characterise relations between species mentions in the biodiversity literature by Sandra Young at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Implementation of a Databaseless Web REST API for the Unstructured Texts of Migne's Patrologia Graeca with Searching capabilities and additional Semantic and Syntactic expandability by Evagelos Varthis, Marios Poulos, Ilias Yarenis and Sozon Papavlasopoulos at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Curation Technologies for a Cultural Heritage Archive: Analysing and transforming a heterogeneous data set into an interactive curation workbench by Georg Rehm, Martin Lee, Julián Moreno Schneider and Peter Bourgonje at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Cross-disciplinary collaborations to enrich access to non-Western language material in the Cultural Heritage sector by Tom Derrick and Nora McGregor at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Tribunal Archives as Digital Research Facility (TRIADO): new ways to make archives accessible and useable by Anne Gorter, Edwin Klijn, Rutger Van Koert, Marielle Scherer and Ismee Tames at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Improving OCR of historical newspapers and journals published in Finland by Senka Drobac, Pekka Kauppinen and Krister Lindén at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Towards a generic unsupervised method for transcription of encoded manuscripts by Arnau Baró, Jialuo Chen, Alicia Fornés and Beáta Megyesi at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Towards the Extraction of Statistical Information from Digitised Numerical Tables - The Medical Officer of Health Reports Scoping Study by Christian Clausner, Apostolos Antonacopoulos, Christy Henshaw and Justin Hayes at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Detecting Articles in a Digitized Finnish Historical Newspaper Collection 1771–1929: Early Results Using the PIVAJ Software by Kimmo Kettunen, Teemu Ruokolainen, Erno Liukkonen, Pierrick Tranouez, Daniel Antelme and Thierry Paquet at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper OCR-D: An end-to-end open-source OCR framework for historical documents by Clemens Neudecker, Konstantin Baierer, Maria Federbusch, Kay-Michael Würzner, Matthias Boenig, Elisa Hermann and Volker Hartmann at the 3rd Edition of the DATeCH2019 International Conference
- The document describes a project to fill gaps in knowledge about diamond mining, trading, and polishing in Borneo by developing a workflow using various CLARIAH tools and resources.
- The workflow involved digitizing a diamond encyclopedia, extracting concepts and place names, linking the data to external sources to create linked open data, and querying newspaper archives to build a corpus of relevant articles.
- Promising results showed mining, trading, and polishing continued in Borneo for Southeast Asian customers, and described previously unknown diamond fields and polishing locations in Borneo. The project aims to apply the workflow to other commodities like sugar.
Slides of the paper Automatic Reconstruction of Emperor Itineraries from the Regesta Imperii by Juri Opitz, Leo Born, Vivi Nastase and Yannick Pultar at the 3rd Edition of the DATeCH2019 International Conference
Slides of the paper Automatic Semantic Text Tagging on Historical Lexica by Combining OCR and Typography Classification by Christian Reul, Sebastian Göttel, Uwe Springmann, Christoph Wick, Kay-Michael Würzner and Frank Puppe at the 3rd Edition of the DATeCH2019 International Conference
This document describes the SOS system for segmenting, stemming, and standardizing Arabic text. It presents the challenges of processing Arabic cultural heritage texts which contain orthographic variations. The system uses gradient boosting machines and achieves state-of-the-art performance on segmentation and derives stemming as a byproduct. It also standardizes orthography with high accuracy, which further improves segmentation. The system addresses issues like hamza forms and letter confusions that previous systems did not handle well.
Unlock the Future of Search with MongoDB Atlas_ Vector Search Unleashed.pdfMalak Abu Hammad
Discover how MongoDB Atlas and vector search technology can revolutionize your application's search capabilities. This comprehensive presentation covers:
* What is Vector Search?
* Importance and benefits of vector search
* Practical use cases across various industries
* Step-by-step implementation guide
* Live demos with code snippets
* Enhancing LLM capabilities with vector search
* Best practices and optimization strategies
Perfect for developers, AI enthusiasts, and tech leaders. Learn how to leverage MongoDB Atlas to deliver highly relevant, context-aware search results, transforming your data retrieval process. Stay ahead in tech innovation and maximize the potential of your applications.
#MongoDB #VectorSearch #AI #SemanticSearch #TechInnovation #DataScience #LLM #MachineLearning #SearchTechnology
Why You Should Replace Windows 11 with Nitrux Linux 3.5.0 for enhanced perfor...SOFTTECHHUB
The choice of an operating system plays a pivotal role in shaping our computing experience. For decades, Microsoft's Windows has dominated the market, offering a familiar and widely adopted platform for personal and professional use. However, as technological advancements continue to push the boundaries of innovation, alternative operating systems have emerged, challenging the status quo and offering users a fresh perspective on computing.
One such alternative that has garnered significant attention and acclaim is Nitrux Linux 3.5.0, a sleek, powerful, and user-friendly Linux distribution that promises to redefine the way we interact with our devices. With its focus on performance, security, and customization, Nitrux Linux presents a compelling case for those seeking to break free from the constraints of proprietary software and embrace the freedom and flexibility of open-source computing.
Climate Impact of Software Testing at Nordic Testing DaysKari Kakkonen
My slides at Nordic Testing Days 6.6.2024
Climate impact / sustainability of software testing discussed on the talk. ICT and testing must carry their part of global responsibility to help with the climat warming. We can minimize the carbon footprint but we can also have a carbon handprint, a positive impact on the climate. Quality characteristics can be added with sustainability, and then measured continuously. Test environments can be used less, and in smaller scale and on demand. Test techniques can be used in optimizing or minimizing number of tests. Test automation can be used to speed up testing.
Building RAG with self-deployed Milvus vector database and Snowpark Container...Zilliz
This talk will give hands-on advice on building RAG applications with an open-source Milvus database deployed as a docker container. We will also introduce the integration of Milvus with Snowpark Container Services.
Essentials of Automations: The Art of Triggers and Actions in FMESafe Software
In this second installment of our Essentials of Automations webinar series, we’ll explore the landscape of triggers and actions, guiding you through the nuances of authoring and adapting workspaces for seamless automations. Gain an understanding of the full spectrum of triggers and actions available in FME, empowering you to enhance your workspaces for efficient automation.
We’ll kick things off by showcasing the most commonly used event-based triggers, introducing you to various automation workflows like manual triggers, schedules, directory watchers, and more. Plus, see how these elements play out in real scenarios.
Whether you’re tweaking your current setup or building from the ground up, this session will arm you with the tools and insights needed to transform your FME usage into a powerhouse of productivity. Join us to discover effective strategies that simplify complex processes, enhancing your productivity and transforming your data management practices with FME. Let’s turn complexity into clarity and make your workspaces work wonders!
TrustArc Webinar - 2024 Global Privacy SurveyTrustArc
How does your privacy program stack up against your peers? What challenges are privacy teams tackling and prioritizing in 2024?
In the fifth annual Global Privacy Benchmarks Survey, we asked over 1,800 global privacy professionals and business executives to share their perspectives on the current state of privacy inside and outside of their organizations. This year’s report focused on emerging areas of importance for privacy and compliance professionals, including considerations and implications of Artificial Intelligence (AI) technologies, building brand trust, and different approaches for achieving higher privacy competence scores.
See how organizational priorities and strategic approaches to data security and privacy are evolving around the globe.
This webinar will review:
- The top 10 privacy insights from the fifth annual Global Privacy Benchmarks Survey
- The top challenges for privacy leaders, practitioners, and organizations in 2024
- Key themes to consider in developing and maintaining your privacy program
UiPath Test Automation using UiPath Test Suite series, part 6DianaGray10
Welcome to UiPath Test Automation using UiPath Test Suite series part 6. In this session, we will cover Test Automation with generative AI and Open AI.
UiPath Test Automation with generative AI and Open AI webinar offers an in-depth exploration of leveraging cutting-edge technologies for test automation within the UiPath platform. Attendees will delve into the integration of generative AI, a test automation solution, with Open AI advanced natural language processing capabilities.
Throughout the session, participants will discover how this synergy empowers testers to automate repetitive tasks, enhance testing accuracy, and expedite the software testing life cycle. Topics covered include the seamless integration process, practical use cases, and the benefits of harnessing AI-driven automation for UiPath testing initiatives. By attending this webinar, testers, and automation professionals can gain valuable insights into harnessing the power of AI to optimize their test automation workflows within the UiPath ecosystem, ultimately driving efficiency and quality in software development processes.
What will you get from this session?
1. Insights into integrating generative AI.
2. Understanding how this integration enhances test automation within the UiPath platform
3. Practical demonstrations
4. Exploration of real-world use cases illustrating the benefits of AI-driven test automation for UiPath
Topics covered:
What is generative AI
Test Automation with generative AI and Open AI.
UiPath integration with generative AI
Speaker:
Deepak Rai, Automation Practice Lead, Boundaryless Group and UiPath MVP
Goodbye Windows 11: Make Way for Nitrux Linux 3.5.0!SOFTTECHHUB
As the digital landscape continually evolves, operating systems play a critical role in shaping user experiences and productivity. The launch of Nitrux Linux 3.5.0 marks a significant milestone, offering a robust alternative to traditional systems such as Windows 11. This article delves into the essence of Nitrux Linux 3.5.0, exploring its unique features, advantages, and how it stands as a compelling choice for both casual users and tech enthusiasts.
Generative AI Deep Dive: Advancing from Proof of Concept to ProductionAggregage
Join Maher Hanafi, VP of Engineering at Betterworks, in this new session where he'll share a practical framework to transform Gen AI prototypes into impactful products! He'll delve into the complexities of data collection and management, model selection and optimization, and ensuring security, scalability, and responsible use.
A tale of scale & speed: How the US Navy is enabling software delivery from l...sonjaschweigert1
Rapid and secure feature delivery is a goal across every application team and every branch of the DoD. The Navy’s DevSecOps platform, Party Barge, has achieved:
- Reduction in onboarding time from 5 weeks to 1 day
- Improved developer experience and productivity through actionable findings and reduction of false positives
- Maintenance of superior security standards and inherent policy enforcement with Authorization to Operate (ATO)
Development teams can ship efficiently and ensure applications are cyber ready for Navy Authorizing Officials (AOs). In this webinar, Sigma Defense and Anchore will give attendees a look behind the scenes and demo secure pipeline automation and security artifacts that speed up application ATO and time to production.
We will cover:
- How to remove silos in DevSecOps
- How to build efficient development pipeline roles and component templates
- How to deliver security artifacts that matter for ATO’s (SBOMs, vulnerability reports, and policy evidence)
- How to streamline operations with automated policy checks on container images
For the full video of this presentation, please visit: https://www.edge-ai-vision.com/2024/06/building-and-scaling-ai-applications-with-the-nx-ai-manager-a-presentation-from-network-optix/
Robin van Emden, Senior Director of Data Science at Network Optix, presents the “Building and Scaling AI Applications with the Nx AI Manager,” tutorial at the May 2024 Embedded Vision Summit.
In this presentation, van Emden covers the basics of scaling edge AI solutions using the Nx tool kit. He emphasizes the process of developing AI models and deploying them globally. He also showcases the conversion of AI models and the creation of effective edge AI pipelines, with a focus on pre-processing, model conversion, selecting the appropriate inference engine for the target hardware and post-processing.
van Emden shows how Nx can simplify the developer’s life and facilitate a rapid transition from concept to production-ready applications.He provides valuable insights into developing scalable and efficient edge AI solutions, with a strong focus on practical implementation.
Unlocking Productivity: Leveraging the Potential of Copilot in Microsoft 365, a presentation by Christoforos Vlachos, Senior Solutions Manager – Modern Workplace, Uni Systems
Securing your Kubernetes cluster_ a step-by-step guide to success !KatiaHIMEUR1
Today, after several years of existence, an extremely active community and an ultra-dynamic ecosystem, Kubernetes has established itself as the de facto standard in container orchestration. Thanks to a wide range of managed services, it has never been so easy to set up a ready-to-use Kubernetes cluster.
However, this ease of use means that the subject of security in Kubernetes is often left for later, or even neglected. This exposes companies to significant risks.
In this talk, I'll show you step-by-step how to secure your Kubernetes cluster for greater peace of mind and reliability.
Full-RAG: A modern architecture for hyper-personalizationZilliz
Mike Del Balso, CEO & Co-Founder at Tecton, presents "Full RAG," a novel approach to AI recommendation systems, aiming to push beyond the limitations of traditional models through a deep integration of contextual insights and real-time data, leveraging the Retrieval-Augmented Generation architecture. This talk will outline Full RAG's potential to significantly enhance personalization, address engineering challenges such as data management and model training, and introduce data enrichment with reranking as a key solution. Attendees will gain crucial insights into the importance of hyperpersonalization in AI, the capabilities of Full RAG for advanced personalization, and strategies for managing complex data integrations for deploying cutting-edge AI solutions.
Alt. GDG Cloud Southlake #33: Boule & Rebala: Effective AppSec in SDLC using ...James Anderson
Effective Application Security in Software Delivery lifecycle using Deployment Firewall and DBOM
The modern software delivery process (or the CI/CD process) includes many tools, distributed teams, open-source code, and cloud platforms. Constant focus on speed to release software to market, along with the traditional slow and manual security checks has caused gaps in continuous security as an important piece in the software supply chain. Today organizations feel more susceptible to external and internal cyber threats due to the vast attack surface in their applications supply chain and the lack of end-to-end governance and risk management.
The software team must secure its software delivery process to avoid vulnerability and security breaches. This needs to be achieved with existing tool chains and without extensive rework of the delivery processes. This talk will present strategies and techniques for providing visibility into the true risk of the existing vulnerabilities, preventing the introduction of security issues in the software, resolving vulnerabilities in production environments quickly, and capturing the deployment bill of materials (DBOM).
Speakers:
Bob Boule
Robert Boule is a technology enthusiast with PASSION for technology and making things work along with a knack for helping others understand how things work. He comes with around 20 years of solution engineering experience in application security, software continuous delivery, and SaaS platforms. He is known for his dynamic presentations in CI/CD and application security integrated in software delivery lifecycle.
Gopinath Rebala
Gopinath Rebala is the CTO of OpsMx, where he has overall responsibility for the machine learning and data processing architectures for Secure Software Delivery. Gopi also has a strong connection with our customers, leading design and architecture for strategic implementations. Gopi is a frequent speaker and well-known leader in continuous delivery and integrating security into software delivery.
Sudheer Mechineni, Head of Application Frameworks, Standard Chartered Bank
Discover how Standard Chartered Bank harnessed the power of Neo4j to transform complex data access challenges into a dynamic, scalable graph database solution. This keynote will cover their journey from initial adoption to deploying a fully automated, enterprise-grade causal cluster, highlighting key strategies for modelling organisational changes and ensuring robust disaster recovery. Learn how these innovations have not only enhanced Standard Chartered Bank’s data infrastructure but also positioned them as pioneers in the banking sector’s adoption of graph technology.
Threats to mobile devices are more prevalent and increasing in scope and complexity. Users of mobile devices desire to take full advantage of the features
available on those devices, but many of the features provide convenience and capability but sacrifice security. This best practices guide outlines steps the users can take to better protect personal devices and information.
National Security Agency - NSA mobile device best practices
IMPACT Final Conference - Research Parallel Sessions02 research session_ncsr_tools
1. IMPACT Tools Developed by NCSR IMPACT Final Conference 2011 24-25 October 2011, London, UK B. Gatos Computational Intelligence Laboratory Institute of Informatics and Telecommunications National Center for Scientific Research ( NCSR ) "Demokritos" GR-153 10 Agia Paraskevi, Athens, Greece
2.
3.
4.
5.
6.
7. Recent OCR projects Computational Intelligence Laboratory Institute of Informatics and Telecommunications N ational C enter for S cientific R esearch "Demokritos" GR-153 10 Agia Paraskevi, Athens, Greece IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
10. Information gain web ontology language Image Video Visual Information Non Visual Information Text Audio Video OCR http://www.casam-project.eu/ IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK Fusion Low-level analysis Interpre tation
11. Video Logo Detection IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
12.
13. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
14. Border_Detection_v4 [0|1] [infile] [outfile1] [outfile2] parameter [0|1]: 0 -> only border removal, 1 -> border removal & page split parameter [infile]: Input filename (b/w or gray scale image) parameters [outfile1] [outfile2]: Output filenames (b/w or gray scale image) + web service implementation IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
15.
16.
17. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
18. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
19. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
20. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
21. 1 (Bad) 2 3 4 5 (Good) Av=4.3 Av=3.6 1. Final image almost destroyed! 2. Big part of text is missing 3. Small part of text is missing 4. All text is there, border not completely removed. 5. All text is there, border has been completely removed. 1. Final image almost destroyed! 2. Big part of text is missing 3. Small part of text is missing 4. All text is there, border not completely removed. 5. All text is there, border has been completely removed. 21709 images to test border removal 3003 newspaper images to test border removal
22. 1 (Bad) 2 3 4 5 (Good) Av=3.3 1. Page split fails! 2 Page split with problems. 3. Page split is correct, large parts of noise remains or text is removed 4. Page split is correct, small parts of noise remains or text is removed 5. Page split is correct, only black noise has been removed IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK 3009 images to test page split (results on 50%)
25. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK 3009 images to test page split
26. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK 458 images from BNF to test page split
27. Page_Curl_Correction _v4 [0|1] [infile] [outfile] parameter [0|1]: 0 -> coarse & fine correction, 1 -> only coarse correction parameter [infile]: Input filename (b/w or gray scale image) parameters [outfile] : Output filename (b/w or gray scale image) + web service implementation IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
28.
29. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
30. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
31. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
32.
33.
34. IMPACT Page Curl Correction v.4 87.78% (81.98% only coarse correction) BookRestorer 80.87% N. Stamatopoulos, B. Gatos and I. Pratikakis, " A Methodology for Document Image Dewarping Techniques Performance Evaluation ", 10th International Conference on Document Analysis and Recognition (ICDAR'09) , pp. 956-960, Barcelona, Spain, July 2009. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
35. 0.21 0.91 Character_Segmentation_v3 [WordImageFilename] [XMLOutputFilename] parameter [WordImageFilename]: An image containing a word parameter [XMLOutputFilename] : several character segmentation variations encoded following the XML schema of IBM used in TR3 (Adaptive OCR) IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
36. Merged characters Broken characters Overlapped characters Noise IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
37.
38. 0.61 0.79 0.85 0.98 0.94 IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
39. 0.83 0.63 0.73 0.89 0.90 IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
40. 0.61 0.79 0.94 Evaluation of the result with the highest confidence IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
41. 0.61 0.79 0.94 Evaluation of the best possible result IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
42. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
43.
44.
45.
46.
47.
48.
49.
50.
51.
52.
53. A. L. Kesidis, E. Galiotou, B. Gatos and I. Pratikakis, “ A word spotting framework for historical machine-printed documents ”, International Journal on Document Analysis and Recognition, DOI: 10.1007/s10032-010-0134-4, pp. 1-14, 2010. A. L. Kesidis, E. Galiotou, B. Gatos, A. Lampropoulos, I. Pratikakis, I. Manolessou and A. Ralli, " Accessing the content of Greek historical documents ", 3rd Workshop on Analytics for Noisy Unstructured Text Data (AND'09), pp. 55-62, Barcelona, Spain, July 2009 IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
54.
55.
56.
57. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK Query by Keyword Query by Example Free Text OFFLINE PREPARATION – ADMINISTRATIVE TASKS Page segmentation and features extraction Admin Admin Admin Keywords definition Admin Letter templates definition Admin Admin Word Spotting by User ’ s feedback Admin ONLINE USAGE Searching All Users All Users All Users
58.
59.
60.
61.
62. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
64. H-DocPro v.1 IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
65. H-DocPro v.1 Step 1: Select the directory with your images or copy your images to directory [Install Dir]/images. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
66. H-DocPro v.1 Step 2: Select the directory for saving the results after pressing the "Settings" button. (default save directory: [Install Dir]/Results ) IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
67. H-DocPro v.1 Step 3: Select one or more document images. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
68.
69. H-DocPro v.1 Step 5: Select the method for every processing module by pressing "<" or ">" on every module at the workflow line. Right click on the module at the workflow line and deselect "Do not recalculate if result exists" if you want to recalculate an existing result. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
70. H-DocPro v.1 Step 6: Execute workflow by pressing "Apply Processes" IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
71. H-DocPro v.1 Step 7: View results on the preview window or right click on any module at the workflow line and select "View Result". If you right click on the right-most module you will view the final result otherwise you will view the intermediate results. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
72. H-DocPro v.1 - Document Image Processing Components Binarization NCSR: Based on "B. Gatos, I. Pratikakis and S. J. Perantonis, Adaptive Degraded Document Image Binarization, Pattern Recognition, Vol. 39, pp. 317-327, 2006" FR8.1: From FineReader Engine v. 8.1. IMPORTANT NOTICES: (a) You must have the engine already intalled. (b) You must edit file [Install Dir]/temp/Binarization/FRkey.txt and add your FineReader license key code IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
73. H-DocPro v.1 - Document Image Processing Components Border Removal Auto: Based on projection profiles and connected component analysis. Auto_Edit: Press inside the marked area and adjust it by draging the black points. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
74. H-DocPro v.1 - Document Image Processing Components Page Split Auto: Based on "N. Stamatopoulos, B. Gatos, T. Georgiou, Page frame detection for double page document images, 9th IAPR International Workshop on Document Analysis Systems (DAS 2010), pp. 401-408, Cambridge, MA, USA, June 2010" Auto_Edit: Press inside the left or right marked area and adjust it by dragging the black points. IMPACT Tools Developed by NCSR - IMPACT Final Conference 2011, 24-25 October, London, UK
75. ASM 2011, 12-13 April 2011, Munich, Germany H-DocPro v.1 - Document Image Processing Components Dewarping Auto: Based on "N. Stamatopoulos, B. Gatos, I. Pratikakis and S.J. Perantonis, Goal-oriented Rectification of Camera-Based Document Images, IEEE Transactions on Image Processing, vol. 20, no. 4, pp. 910-920, 2011." IMPORTANT NOTICES: (a) It needs the MATLAB Component Runtime Installer, (b) it can be applied only to single column documents. Auto_Edit: Manually correct the position of the two lines and the two curves that delimit the text area by draging the corresponding black points. Press ">" button to test the result.