Erscheinungsdatum: 18.11.2013, Medium: Buch, Einband: Gebunden, Titel: Compressed Data Structures for Strings, Titelzusatz: On Searching and Extracting Strings from Compressed Textual Data, Auflage: 2014, Autor: Venturini, Rossano, Verlag: Atlantis Press, Sprache: Englisch, Schlagworte: Rechnerarchitektur und Logik-Entwurf, Rubrik: Informatik, Seiten: 132, Informationen: HC runder Rücken kaschiert, Gewicht: 347 gr, Verkäufer: averdo
Compressed Data Structures for Strings ab 90.99 € als pdf eBook: On Searching and Extracting Strings from Compressed Textual Data. Aus dem Bereich: eBooks, Sachthemen & Ratgeber, Computer & Internet,
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The advent of low-cost mass-sequencing of genomespresents significant data management difficulties.These will grow worse as it becomes routine tosequence the genomes of individual people andorganisms, because existing systems store and searcheach genome separately. This approach is notfeasible for searching andcomparing the genomes of millions or billions ofindividual organisms. This book seeks to solve thisproblem by describing the DASH sequence alignment andcompression algorithms. DASHmakes use of the overwhelming similarities amongstgenomes of a given species in order to compress, notonly the database size, but also the index size andsearch time. The resulting novel approach todatabase compression, index compression,bioinformatics and information-retrieval should be ofespecial interest to anyone who has an interest inthe storage and efficient searching of large datasets, whether DNA or any other subject which offerssome degree of redundancy, such as natural languagetext or web pages.
The arrival, and continuing evolution, of high quality 3D objects has been made possible by recent progress in 3D graphics rendering. With this increasing quality comes a corresponding increase in the size and complexity of the data files and the necessity for advances in compression techniques. Effective indexing to facilitate the retrieval of the 3D data is then required to efficiently store, search and recapture the objects that have been compressed. The application of 3D images in fields such as communications, medicine and the military also calls for copyright protection, or watermarking, to secure the data for transmission. Written by expert contributors, this timely text bring together the three important and complementary topics of compression, retrieval and watermarking techniques for 3D objects. 3D object processing applications are developing rapidly and this book tackles the challenges and opportunities presented, focusing on the secure transmission, sharing and searching of 3D objects on networks, and includes: * an introduction to the commonly used 3D representation schemes; the characteristics, advantages and limitations of polygonal meshes, surface based models and volumetric models; * 3D compression techniques; the 3D coding and decoding schemes for reducing the size of 3D data to reduce transmission time and minimize distortion; * state of the art responses to the intrinsic challenges of building a 3D-model search engine, considering view-based, structural and full-3D approaches; * watermarking techniques for ensuring intellectual property protection and content security without altering the visual quality of the 3D object. 3D Object Processing: Compression, Indexing and Watermarking is an invaluable resource for graduate students and researchers working in signal and image processing, computer aided design, animation and imaging systems. Practising engineers who want to expand their knowledge of 3D video objects, including data compression, indexing, security, and copyrighting of information, will also find this book of great use.