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Doctoral Training in Engineering: Developing Indigenous Capacities and Skills for Economic Growth in Industrialising Countries (EAI/Springer Innovations in Communication and Computing)
by Wilson R. Nyemba Keith F. CarterThe book provides a comprehensive analysis of Engineering Education in industrialising countries, with Southern Africa as the case study, benchmarked on institutions from the industrialised world, with UK institutions as the reference. This was motivated by the perennial shortage of engineers and engineering skills to drive industry in Southern Africa, compounded by the mismatch of skills between those produced by tertiary institutions and those required by industry. This book focuses on the insufficiencies in training, through addressing the gap where the majority of engineering academics’ qualifications at MSc/MEng level fall short of the internationally acceptable PhD/DEng/DTech. In order to address such insufficiencies, the book proposes and advocates for reskilling and doctoral training of engineering academics through the proposed and established DTCs within the region. The book is targeted at graduate students, engineering academics, researchers, university administrators, foreign aid agencies, captains of industry and policy-makers in governments. To all these readers, the book offers:
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part IV (Lecture Notes in Computer Science #12824)
by Josep Lladós Daniel Lopresti Seiichi UchidaThis four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: scene text detection and recognition, document classification, gold-standard benchmarks and data sets, historical document analysis, and handwriting recognition. In addition, the volume contains results of 13 scientific competitions held during ICDAR 2021.
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II (Lecture Notes in Computer Science #12822)
by Josep Lladós Daniel Lopresti Seiichi UchidaThis four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: document analysis for literature search, document summarization and translation, multimedia document analysis, mobile text recognition, document analysis for social good, indexing and retrieval of documents, physical and logical layout analysis, recognition of tables and formulas, and natural language processing (NLP) for document understanding.
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part I (Lecture Notes in Computer Science #12821)
by Josep Lladós Daniel Lopresti Seiichi UchidaThis four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: historical document analysis, document analysis systems, handwriting recognition, scene text detection and recognition, document image processing, natural language processing (NLP) for document understanding, and graphics, diagram and math recognition.
Document Analysis and Recognition – ICDAR 2021: 16th International Conference, Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part III (Lecture Notes in Computer Science #12823)
by Josep Lladós Daniel Lopresti Seiichi UchidaThis four-volume set of LNCS 12821, LNCS 12822, LNCS 12823 and LNCS 12824, constitutes the refereed proceedings of the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland in September 2021. The 182 full papers were carefully reviewed and selected from 340 submissions, and are presented with 13 competition reports.The papers are organized into the following topical sections: extracting document semantics, text and symbol recognition, document analysis systems, office automation, signature verification, document forensics and provenance analysis, pen-based document analysis, human document interaction, document synthesis, and graphs recognition.
Document Analysis and Recognition – ICDAR 2021 Workshops: Lausanne, Switzerland, September 5–10, 2021, Proceedings, Part II (Lecture Notes in Computer Science #12917)
by Elisa H. Barney Smith Umapada PalThis book constitutes the proceedings of the international workshops co-located with the 16th International Conference on Document Analysis and Recognition, ICDAR 2021, held in Lausanne, Switzerland, in September 2021.The total of 59 full and 12 short papers presented in this book were carefully selected from 96 submissions and divided into two volumes. Part II contains 30 full and 8 short papers that stem from the following meetings: Workshop on Machine Learning (WML); Workshop on Open Services and Tools for Document Analysis (OST); Workshop on Industrial Applications of Document Analysis and Recognition (WIADAR); Workshop on Computational Paleography (IWCP); Workshop on Document Images and Language (DIL); Workshop on Graph Representation Learning for Scanned Document Analysis (GLESDO).
Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part III (Lecture Notes in Computer Science #14189)
by Gernot A. Fink Rajiv Jain Koichi Kise Richard ZanibbiThis six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part I (Lecture Notes in Computer Science #14187)
by Gernot A. Fink Rajiv Jain Koichi Kise Richard ZanibbiThis six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2023, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part VI (Lecture Notes in Computer Science #14192)
by Gernot A. Fink Rajiv Jain Koichi Kise Richard ZanibbiThis six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part II (Lecture Notes in Computer Science #14188)
by Gernot A. Fink Rajiv Jain Koichi Kise Richard ZanibbiThis six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part V (Lecture Notes in Computer Science #14191)
by Gernot A. Fink Rajiv Jain Koichi Kise Richard ZanibbiThis six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Document Analysis and Recognition - ICDAR 2023: 17th International Conference, San José, CA, USA, August 21–26, 2023, Proceedings, Part IV (Lecture Notes in Computer Science #14190)
by Gernot A. Fink Rajiv Jain Koichi Kise Richard ZanibbiThis six-volume set of LNCS 14187, 14188, 14189, 14190, 14191 and 14192 constitutes the refereed proceedings of the 17th International Conference on Document Analysis and Recognition, ICDAR 2021, held in San José, CA, USA, in August 2023. The 53 full papers were carefully reviewed and selected from 316 submissions, and are presented with 101 poster presentations. The papers are organized into the following topical sections: Graphics Recognition, Frontiers in Handwriting Recognition, Document Analysis and Recognition.
Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part II (Lecture Notes in Computer Science #14805)
by Elisa H. Barney Smith Marcus Liwicki Liangrui PengThis six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.
Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part I (Lecture Notes in Computer Science #14804)
by Elisa H. Barney Smith Marcus Liwicki Liangrui PengThis six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: Document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.
Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part V (Lecture Notes in Computer Science #14808)
by Elisa H. Barney Smith Marcus Liwicki Liangrui PengThis six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.
Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30 – September 4, 2024, Proceedings, Part III (Lecture Notes in Computer Science #14806)
by Elisa H. Barney Smith Marcus Liwicki Liangrui PengThis six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.
Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part VI (Lecture Notes in Computer Science #14809)
by Elisa H. Barney Smith Marcus Liwicki Liangrui PengThis six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.
Document Analysis and Recognition - ICDAR 2024: 18th International Conference, Athens, Greece, August 30–September 4, 2024, Proceedings, Part IV (Lecture Notes in Computer Science #14807)
by Elisa H. Barney Smith Marcus Liwicki Liangrui PengThis six-volume set LNCS 14804-14809 constitutes the proceedings of the 18th International Conference on Document Analysis and Recognition, ICDAR 2024, held in Athens, Greece, during August 30–September 4, 2024. The total of 144 full papers presented in these proceedings were carefully selected from 263 submissions. The papers reflect topics such as: document image processing; physical and logical layout analysis; text and symbol recognition; handwriting recognition; document analysis systems; document classification; indexing and retrieval of documents; document synthesis; extracting document semantics; NLP for document understanding; office automation; graphics recognition; human document interaction; document representation modeling and much more.
Document and Image Compression (Signal Processing and Communications)
by Mauro BarniAlthough it's true that image compression research is a mature field, continued improvements in computing power and image representation tools keep the field spry. Faster processors enable previously intractable compression algorithms and schemes, and certainly the demand for highly portable high-quality images will not abate. Document and Image Compression highlights the current state of the field along with the most probable and promising future research directions for image coding.Organized into three broad sections, the book examines the currently available techniques, future directions, and techniques for specific classes of images. It begins with an introduction to multiresolution image representation, advanced coding and modeling techniques, and the basics of perceptual image coding. This leads to discussions of the JPEG 2000 and JPEG-LS standards, lossless coding, and fractal image compression. New directions are highlighted that involve image coding and representation paradigms beyond the wavelet-based framework, the use of redundant dictionaries, the distributed source coding paradigm, and novel data-hiding techniques. The book concludes with techniques developed for classes of images where the general-purpose algorithms fail, such as for binary images and shapes, compound documents, remote sensing images, medical images, and VLSI layout image data. Contributed by international experts, Document and Image Compression gathers the latest and most important developments in image coding into a single, convenient, and authoritative source.
Document-Based Cases for Technical Communication
by Roger MungerWith seven context-rich scenarios and more than 50 sample documents to analyze, revise, and design, this booklet offers students realistic opportunities to practice writing in the workplace. The new edition features a fresh new design and new cases and writing tasks that incorporate online genres and social media tools. A companion Web site provides digital versions of all the documents in the book for students to download and work with as well as new scoring guides for instructors.
Document Layout Analysis (SpringerBriefs in Computer Science)
by Showmik BhowmikDocument layout analysis (DLA) is a crucial step towards the development of an effective document image processing system. In the early days of document image processing, DLA was not considered as a complete and complex research problem, rather just a pre-processing step having some minor challenges. The main reason for that is the type of layout being considered for processing was simple. Researchers started paying attention to this complex problem as they come across a large variety of documents. This book presents a clear view of the past, present, and future of DLA, and it also discusses two recent methods developed to address the said problem.
Document Processing Using Machine Learning
by Sk Md Obaidullah K. C. Santosh Teresa Gonçalves Nibaran Das Kaushik RoyDocument Processing Using Machine Learning aims at presenting a handful of resources for students and researchers working in the document image analysis (DIA) domain using machine learning since it covers multiple document processing problems. Starting with an explanation of how Artificial Intelligence (AI) plays an important role in this domain, the book further discusses how different machine learning algorithms can be applied for classification/recognition and clustering problems regardless the type of input data: images or text. In brief, the book offers comprehensive coverage of the most essential topics, including: · The role of AI for document image analysis · Optical character recognition · Machine learning algorithms for document analysis · Extreme learning machines and their applications · Mathematical foundation for Web text document analysis · Social media data analysis · Modalities for document dataset generation This book serves both undergraduate and graduate scholars in Computer Science/Information Technology/Electrical and Computer Engineering. Further, it is a great fit for early career research scientists and industrialists in the domain.
Documentarity: Evidence, Ontology, and Inscription (History and Foundations of Information Science)
by Ronald E. DayA historical-conceptual account of the different genres, technologies, modes of inscription, and innate powers of expression by which something becomes evident.In this book, Ronald Day offers a historical-conceptual account of how something becomes evident. Crossing philosophical ontology with documentary ontology, Day investigates the different genres, technologies, modes of inscription, and innate powers of expression by which something comes into presence and makes itself evident. He calls this philosophy of evidence documentarity, and it is through this theoretical lens that he examines documentary evidence (and documentation) within the tradition of Western philosophy, largely understood as representational in its epistemology, ontology, aesthetics, and politics.Day discusses the expression of beings or entities as evidence of what exists through a range of categories and modes, from Plato's notion that ideas are universal types expressed in evidential particulars to the representation of powerful particulars in social media and machine learning algorithms. He considers, among other topics, the contrast between positivist and anthropological documentation traditions; the ontological and epistemological importance of the documentary index; the nineteenth-century French novel's documentary realism and the avant-garde's critique of representation; performative literary genres; expression as a form of self evidence; and the “post-documentation” technologies of social media and machine learning, described as a posteriori, real-time technologies of documentation. Ultimately, the representational means are not only information and knowledge technologies but technologies of judgment, judging entities both descriptively and prescriptively.
Documentary: A History Of The Non-Fiction Film
by Erik BarnouwNow brought completely up to date, the new edition of this classic work on documentary films and filmmaking surveys the history of the genre from 1895 to the present day. With the myriad social upheavals over the past decade, documentaries have enjoyed an international renaissance; here Barnouw considers the medium in the light of an entirely new political and social climate. He examines as well the latest filmmaking technology, and the effects that video cassettes and cable television are having on the production of documentaries. And like the previous editions, Documentary is filled with photographs, many of them rare, collected during the author's travels around the world. Covering the full course of the documentary from Louis Lumiere's first effort to recent landmark productions such as Shoah, this book makes the growing importance of a unique blend of art and reality accessible and understandable to all film lovers.
Documenting Aftermath: Information Infrastructures in the Wake of Disasters (Infrastructures)
by Megan FinnAn examination of how changing public information infrastructures shaped people's experience of earthquakes in Northern California in 1868, 1906, and 1989. When an earthquake happens in California today, residents may look to the United States Geological Survey for online maps that show the quake's epicenter, turn to Twitter for government bulletins and the latest news, check Facebook for updates from friends and family, and count on help from the Federal Emergency Management Agency (FEMA). One hundred and fifty years ago, however, FEMA and other government agencies did not exist, and information came by telegraph and newspaper. In Documenting Aftermath, Megan Finn explores changing public information infrastructures and how they shaped people's experience of disaster, examining postearthquake information and communication practices in three Northern California earthquakes: the 1868 Hayward Fault earthquake, the 1906 San Francisco earthquake and fire, and the 1989 Loma Prieta earthquake. She then analyzes the institutions, policies, and technologies that shape today's postdisaster information landscape.Finn argues that information orders—complex constellations of institutions, technologies, and practices—influence how we act in, experience, and document events. What Finn terms event epistemologies, constituted both by historical documents and by researchers who study them, explain how information orders facilitate particular possibilities for knowledge. After the 1868 earthquake, the Chamber of Commerce telegraphed reassurances to out-of-state investors while local newspapers ran sensational earthquake narratives; in 1906, families and institutions used innovative techniques for locating people; and in 1989, government institutions and the media developed a symbiotic relationship in information dissemination. Today, government disaster response plans and new media platforms imagine different sources of informational authority yet work together shaping disaster narratives.