DOCSLIB.ORG

Appendix: Graphics Software Took

Total Page：16

File Type：pdf, Size：1020Kb

Download full-text PDF Read full-text
Appendix: Graphics Software Took Appendix: Graphics Software Took Appendix Objectives: • Provide a comprehensive list of graphics software tools. • Categorize graphics tools according to their applications. Many tools come with multiple functions. We put a primary category name behind a tool name in the alphabetic index, and put a tool name into multiple categories in the categorized index according to its functions. A.I. Graphics Tools Listed by Categories We have no intention of rating any of the tools. Many tools in the same category are not necessarily of the same quality or at the same capacity level. For example, a software tool may be just a simple function of another powerful package, but it may be free. Low4evel Graphics Libraries 1. DirectX/DirectSD - - 248 2. GKS-3D - - - 278 3. Mesa 342 4. Microsystem 3D Graphic Tools 346 5. OpenGL 370 6. OpenGL For Java (GL4Java; Maps OpenGL and GLU APIs to Java) 281 7. PHIGS 383 8. QuickDraw3D 398 9. XGL - 497 138 Appendix: Graphics Software Toois Visualization Tools 1. 3D Grapher (Illustrates and solves mathematical equations in 2D and 3D) 160 2. 3D Studio VIZ (Architectural and industrial designs and concepts) 167 3. 3DField (Elevation data visualization) 171 4. 3DVIEWNIX (Image, volume, soft tissue display, kinematic analysis) 173 5. Amira (Medicine, biology, chemistry, physics, or engineering data) 193 6. Analyze (MRI, CT, PET, and SPECT) 197 7. AVS (Comprehensive suite of data visualization and analysis) 211 8. Blueberry (Virtual landscape and terrain from real map data) 221 9. Dice (Data organization, runtime visualization, and graphical user interface tools) 247 10. Enliten (Views, analyzes, and manipulates complex visualization scenarios) 260 11. Ensight (CFD, structural analysis, combustion, electromagnetics, and injection) - 262 12. FAST (Data from numerical simulations) 268 13. Ferret (Oceanographers and meteorologists analyzing large gridded datasets) 269 14. Fieldview (CFD or other data) - 270 15- Geomview (Visuahzes and manipulates 3D geometric objects) 276 16. GNUPlot (Scientific data plotting of various forms) 283 17. IDL (Data analysis, visuaUzation, and cross-platform application development.) - 291 18. Iris Explorer (3D data visualization, animation, and manipulation) 307 19. JA^iew 3Dpro (Interactive data visualizations on top of Java3D) 315 20. Khoros (Visual programming with data processing and visualization) 317 21. LandForm (Map data as 3D surfaces with overlay satellite and aerial imagery) - - 318 22. MapRender3D (Generates realistic relief shaded landscape perspectives) 331 23. Mathematica (Numeric and symbolic calculation, visualization, and simulation) - 334 24. Matlab (Data analysis/visualization, numeric/symbolic computation, simulation) 334 25. Mvox (VisuaUzation for medical images) 358 26. Near (Access, analysis, and visualization of data) 360 27. OpenDX (Science, engineering, medicine, and business data) 369 28. OpenlnventorA^RML (Cross-platform 3D graphics visualization and animation) 369 29. OpenGL Volumizer (C++ classes, manipulation, and display of voxel-based data) 371 30. Plot 3D (Simulation and visualization of computational fluid dynamics solutions) 386 31. Pv3 (Unsteady, unstructured CFD visualization for parallel machines) 394 32. PV-Wave (Manipulates and visualizes complex or large technical datasets) 396 33. Realax VR Studio (Simulations, design reviews, and visualizations) 402 Modeling Tools 139 34. ROSS (3D serial-section reconstruction and visualization) 418 35. STK (Scenario information from the Satellite Tool Kit software suite) 421 36. SciAn (Visualization, movie making, object-oriented drawing package) 424 37. Star-CD (Multipurpose CFD code, complete design, and development process) - 445 38. Tecplot (Visualizes technical data from analyses, simulations, and experiments) - 452 39. View3D (Motif comphant widget, 3D data displays) 470 40. Vis5D (5-D gridded datasets by numerical weather and ocean models) - - 472 41. VisAD (Interactive visualization and analysis of numerical data) 474 42. Visual3 (Interaction with pregenerated data for visualization in fluid modeling) - 479 43. VolVis (Volume visualization that unites numerous visualization methods) 482 44. VoxBlast (Imaging, volume rendering) 482 45. VP-Sculpt (3D model visualizing, verifying, calculating, and repairing) 484 46. VRCharts (Numerical data visualization) 485 47. VTK (3D graphics, image processing, and visualization) 487 Modeling Tools 1. 3D Canvas (Drag-and-drop, animation) 153 2. 3D Invigorator (Logo, After Effects, and Maya plug-in) 164 3. 3D MeNow (Human face) - - 166 4. 3D Studio Max (Game effects, animation, and rendering) 166 5. 3D Studio VIZ (Architectural and industrial designs and concepts) 167 6. 3Dom (Solid objects) 173 7. AC3D (Objects and scenes) - 176 8. ACIS 3D Toolkit (Geometric solids and surfaces) 182 9. ActiveDimension3 (CAD) 185 10. Adobe Dimensions (3D text, sweep model) 186 11. Aladdin (Procedural textures, gasses, path-based animation) - 188 12. Amapi 3D (NURBS modeling, rendering, and animation) 191 13. Amorphium (3D sculpting and painting) 195 14. Anim80R (3D modehng and character animation) - - 202 15. Animation Master (Movies, 3D story boards, VR, business presentations) 203 16. Arius 3D (3D imaging to models) - 208 140 Appendix: Graphics Software Toois 17. AutoCAD2000 (CAD for schematics of ships and buildings) - - - 213 18. bCAD (Design and rendering) - 215 19. Behemot Graphics Editor (Objects and scenes) 217 20. Beyond 3D (VRML models, animation) - - - 218 21. Blender (TV commercials, visualizations, user interfaces) 219 22. Blueberry (Virtual landscape and terrain from real map data) — 221 23. Body Paint 3D (Body texture mapping) 223 24. Breeze Designer (Modeling tool interfacing with POV-Ray rendering) 225 25. Bryce 3D (Landscape, terrain, water, etc.) 227 26. Cahmax Modeller (Modeling tool interfacing with POV-Ray rendering) 228 27. Carrara Studio (RayDream, Infini D, modeling, rendering, animation) 230 28. Cinema 4D (Film, television, architecture, face, and multimedia) - 231 29. ClayWorks (Dos platform) 232 30. Corel Dream 3D (Spline-based modeling and rendering) 233 31. CyberMotion 3D Designer (Game, virtual design) 240 32. Deep Paint 3D (Oils, watercolors, and pastels brushed directly onto 3D models) - 241 33. DesignCAD 3000 (Engineering, drafting, and architectural applications) 243 34. DesignStudio (Automotive, marine, aircraft) - 245 35. Design Workshop Pro (Films and advertisements) 246 36. DMesh (Humanoid and other organic modeling) 253 37. Draw3D (Surface from 3D points) - 255 38. Easymodel (Simple easy to use) - -- 256 39. Effect3D (Objects) - 257 40. Electric Image Universe (Film, architecture, and engineering) 258 41. Flesh (Face painting) 271 42. Form-Z (Architects, designers, engineers) 272 43. Genesis3D (Real-time games) 274 44. Geometique (Surface subdivision) - 275 45. Giram (POV-Ray plug-in) 280 46. Grafitti (Face painting) - - 284 47. GSLib (Creates, edits, and analyzes curved geometric representations) 285 48. Houdini (Procedural approach) 287 49. HyperFun (Modeling through language-based functions) 288 50. Illusion (Particle system effects) 293 51. ImageModeler (2D image to 3D model) 294 Modeling Tools 141 52. Imagine (Film, TV, and conmiercials) 295 53. Inspire 3D (3D elements for multimedia or the Web) 299 54. Jet 3D (Graphics engine built for high performance real-time rendering) 311 55. K-3D (Geometrical objects) 316 56. LandForm (Map data as 3D surfaces with overlay satellite and aerial imagery) - - 318 57. MapRender3D (Generates realistic relief shaded landscape perspectives) 331 58. Lattice Designer (Curved surfaces) 319 59. Lipservice (3D facial sculpting and animation for Lightwave) 324 60. LSS Vista (Terrain, map) 327 61. LumeTools (Creates landscape, water, light, matter, and workbench) 329 62. MateriaHze3D (Model converter, material/texture editor, and polygon processor) 332 63. Matlab (Data analysis/visualization, numeric/symbolic computation) 334 64. MaxtraxII (Path generator, a 3D Max plug-in) 336 65. Maya (Commercials, character animation, and virtual reality) 338 66. Merlin 3D (CAD, video, game, architecture) 340 67. Meshwork (Mesh modehng for 3D game and the Web) 343 68. Microstation TriForma (Building design and drawing) 345 69. MilkShape 3D (Low-polygon modeler and editing utilities) 347 70. MindsEye (Supports NURBS designed for Linux and Unix Systems) 348 71. ModelMagic3D (OpenGL scenes rendered in real-time) 351 72. Molecules-3D (Builds and examines 3D molecular models) 352 73. Moray (Wireframe PovRay plug-in) 353 74. MultigenPro (Real-time 3D content for simulation and game applications) 357 75. Natural Scene Designer (Trees, clouds, rocks, lakes, atmospheric effects) 359 76. Nendo (Digital clay painting and modeling) 363 77. Now3D (Drawing tool to quickly create complex, realistic 3D pictures) 366 78. Organica (Blob complex organic shapes) 374 79. Painter 3D (Paint texture, bump, highlight, reflection, and glow properties) 376 80. Paraform (CAD, etc.) 381 81. PhotoModeler (Generating 3D models and measuring existing object or scenes) - 385 82. Poser4 (3D-character animation and design tool) 388 83. Povlab (Modeling tool for PovRay) 389 84. PovRay (Persistence of Vision Raytracer) 390 85. ProEngineer (Architectures, manufacturers, and drafts) 392 86. ProtoCAD (Turns 2D drawings into 3D models) 394 142 Appendix: Graphics Software Toois 87. Realax VR Studio (Simulations, design reviews, and high quality visualizations) 402 88. Realflow (Fluids by calculating the interaction between particles) 402 89. Realsoft 3D (Architecture
Load more

Recommended publications
  • Object Oriented Programming
    No. 52 March-A pril'1990 $3.95 T H E M TEe H CAL J 0 URN A L COPIA Object Oriented Programming First it was BASIC, then it was structures, now it's objects. C++ afi<;ionados feel, of course, that objects are so powerful, so encompassing that anything could be so defined. I hope they're not placing bets, because if they are, money's no object. C++ 2.0 page 8 An objective view of the newest C++. Training A Neural Network Now that you have a neural network what do you do with it? Part two of a fascinating series. Debugging C page 21 Pointers Using MEM Keep C fro111 (C)rashing your system. An AT Keyboard Interface Use an AT keyboard with your latest project. And More ... Understanding Logic Families EPROM Programming Speeding Up Your AT Keyboard ((CHAOS MADE TO ORDER~ Explore the Magnificent and Infinite World of Fractals with FRAC LS™ AN ELECTRONIC KALEIDOSCOPE OF NATURES GEOMETRYTM With FracTools, you can modify and play with any of the included images, or easily create new ones by marking a region in an existing image or entering the coordinates directly. Filter out areas of the display, change colors in any area, and animate the fractal to create gorgeous and mesmerizing images. Special effects include Strobe, Kaleidoscope, Stained Glass, Horizontal, Vertical and Diagonal Panning, and Mouse Movies. The most spectacular application is the creation of self-running Slide Shows. Include any PCX file from any of the popular "paint" programs. FracTools also includes a Slide Show Programming Language, to bring a higher degree of control to your shows.
    [Show full text]
  • Migration System for Zoe Microservices
    Computer Science Department BACHELOR THESIS Migration system for Zoe microservices Author: Rafael Medina García Supervisor: David Expósito Singh Madrid, June 2016 Copyright ©2016. Rafael Medina García This work is licensed under the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International License. To view a copy of this license, visit http://creativecommons.org/licenses/by-nc-sa/4.0/. Esta obra está sujeta a la licencia Reconocimiento-NoComercial-CompartirIgual 4.0 Internacional de Creative Commons. Para ver una copia de esta licencia, visite http://creativecommons.org/licenses/by-nc-sa/4.0/. i Título: Migration system for Zoe microservices Autor: Rafael Medina García Tutor: David Expósito Singh EL TRIBUNAL Presidente: José Manuel Sánchez Pena Secretario: Pedro Peris López Vocal: María Paula de Toledo Heras Realizado el acto de defensa y lectura del Trabajo Fin de Grado el día 7 de julio de 2016 en Leganés, en la Escuela Politécnica Superior de la Universidad Carlos III de Madrid, acuerda otorgarle la CALIFICACIÓN de: VOCAL SECRETARIO PRESIDENTE ii Agradecimientos Agradezco: A mis padres y hermano, por vuestro apoyo, siempre; a Dorito-senpai y sus increíbles amigos: Jaime y Nacho; a Adrián, por esas interminables tardes trabajando en el despacho; al Grupo de Usuarios de Linux de la Universidad Carlos III de Madrid, verdaderamente habéis hecho que aproveche mi tiempo en la universidad; a David Expósito. iv "Ryuu ga waga teki wo kurau" Hanzo Shimada vi Abstract The Zoe virtual assistant developed by the Linux User Group from Carlos III University is a project that aims to automate various tedious tasks of the association.
    [Show full text]
  • Computer Science and Software Engineering 1
    Computer Science and Software Engineering 1 Computer Science and Software Engineering Software Engineering The focus of the software engineering curriculum, which leads to the bachelor of software engineering, is on the analysis, design, verification, validation, construction, application, and maintenance of software systems. The degree program prepares students for professional careers and graduate study with a balance of computer science theory and practical application of software engineering methodology using modern software engineering environments and tools. The curriculum is based on a strong core of topics including software modeling and design, construction, process and quality assurance, intelligent and interactive systems, networks, operating systems, and computer architecture. The curriculum also enriches each student’s general education with a range of courses from science, mathematics, the humanities and the social sciences. Through advanced elective courses, the curriculum allows students to specialize in core areas of computer science and software engineering. Engineering design theory and methodology, as they apply to software systems, form an integral part of the curriculum, beginning with the first course in computing and culminating with a comprehensive senior design project, which gives students the opportunity to work in one or more significant application domains. The curriculum also emphasizes oral and written communication skills, the importance of ethical behavior, and the need for continual, life-long learning. The overall educational objectives of the Software Engineering program are for graduates of the program to attain success in their chosen profession and/or post-undergraduate studies. The undergraduate Software Engineering program is accredited by the Engineering Accreditation Commission of ABET, http:// www.abet.org.
    [Show full text]
  • Making a Game Character Move
    Piia Brusi MAKING A GAME CHARACTER MOVE Animation and motion capture for video games Bachelor’s thesis Degree programme in Game Design 2021 Author (authors) Degree title Time Piia Brusi Bachelor of Culture May 2021 and Arts Thesis title 69 pages Making a game character move Animation and motion capture for video games Commissioned by South Eastern Finland University of Applied Sciences Supervisor Marko Siitonen Abstract The purpose of this thesis was to serve as an introduction and overview of video game animation; how the interactive nature of games differentiates game animation from cinematic animation, what the process of producing game animations is like, what goes into making good game animations and what animation methods and tools are available. The thesis briefly covered other game design principles most relevant to game animators: game design, character design, modelling and rigging and how they relate to game animation. The text mainly focused on animation theory and practices based on commentary and viewpoints provided by industry professionals. Additionally, the thesis described various 3D animation and motion capture systems and software in detail, including how motion capture footage is shot and processed for games. The thesis ended on a step-by-step description of the author’s motion capture cleanup project, where a jog loop was created out of raw motion capture data. As the topic of game animation is vast, the thesis could not cover topics such as facial motion capture and procedural animation in detail. Technologies such as motion matching, machine learning and range imaging were also suggested as topics worth covering in the future.
    [Show full text]
  • CMSC427 Computer Graphics
    CMSC427 Computer Graphics Matthias Zwicker Fall 2018 Staff Instructor • Matthias Zwicker ([email protected], https://cs.umd.edu/~zwicker) Teaching assistant • Yue Jiang ([email protected]) 2 Today • Course overview • Course organization • Vectors and coordinate systems 3 Computer graphics applications 4 Computer graphics • „Technology to create images using computers“ • This course: underlying algorithms for interactive applications – AR, VR, games, scientific visualization, etc. • Core areas – 3D rendering – Modeling – Animation 5 Rendering • Synthesis of 2D image from 3D scene description http://en.wikipedia.org/wiki/Rendering_(computer_graphics) – Rendering algorithms interpret data structures that represent scenes using geometric primitives, material properties, and lights • Input – Data structures that represent scene (geometry, material properties, lights, virtual camera) • Output – 2D image (array of pixels) – Red, green, blue values for each pixel 6 Photorealistic rendering See also http://en.wikipedia.org/wiki/Rendering_(computer_graphics) 7 Photorealistic rendering • Physically-based simulation of light, materials, and camera – Physical model expressed using the rendering equation, http://en.wikipedia.org/wiki/Rendering_equation – Shadows, realistic illumination, multiple light bounces • Slow, minutes to hours per image • Special effects, movies • Not in this class 8 Interactive rendering 9 Interactive rendering • Focus of this class • Produce images within milliseconds • Interactive applications (games, …) • Using specialized
    [Show full text]
  • The Machine That Builds Itself: How the Strengths of Lisp Family
    Khomtchouk et al. OPINION NOTE The Machine that Builds Itself: How the Strengths of Lisp Family Languages Facilitate Building Complex and Flexible Bioinformatic Models Bohdan B. Khomtchouk1*, Edmund Weitz2 and Claes Wahlestedt1 *Correspondence: [email protected] Abstract 1Center for Therapeutic Innovation and Department of We address the need for expanding the presence of the Lisp family of Psychiatry and Behavioral programming languages in bioinformatics and computational biology research. Sciences, University of Miami Languages of this family, like Common Lisp, Scheme, or Clojure, facilitate the Miller School of Medicine, 1120 NW 14th ST, Miami, FL, USA creation of powerful and flexible software models that are required for complex 33136 and rapidly evolving domains like biology. We will point out several important key Full list of author information is features that distinguish languages of the Lisp family from other programming available at the end of the article languages and we will explain how these features can aid researchers in becoming more productive and creating better code. We will also show how these features make these languages ideal tools for artificial intelligence and machine learning applications. We will specifically stress the advantages of domain-specific languages (DSL): languages which are specialized to a particular area and thus not only facilitate easier research problem formulation, but also aid in the establishment of standards and best programming practices as applied to the specific research field at hand. DSLs are particularly easy to build in Common Lisp, the most comprehensive Lisp dialect, which is commonly referred to as the “programmable programming language.” We are convinced that Lisp grants programmers unprecedented power to build increasingly sophisticated artificial intelligence systems that may ultimately transform machine learning and AI research in bioinformatics and computational biology.
    [Show full text]
  • Christian Grothoff
    Curriculum Vitae Christian Grothoff February 19, 2021 Contents 1 General Information2 1.1 Contact..............................2 1.2 Brief Biography..........................2 1.3 Education and Employment History..............2 1.4 Honors and Awards.......................3 1.5 Professional Associations.....................3 2 Research3 2.1 Publications............................3 2.2 Software Systems......................... 12 2.3 Talks and Panels......................... 14 2.4 Funding.............................. 18 3 Teaching 21 3.1 Teaching at the University of Denver.............. 21 3.2 Teaching at Technische Universit¨atM¨unchen......... 21 3.3 Teaching at BFH......................... 21 3.4 Theses supervision........................ 22 1 Christian Grothoff 2 1 General Information 1.1 Contact Bern University of Applied Sciences [email protected] Room N.474 http://grothoff.org/christian/ H¨oheweg 80 Phone (priv): +41-786926894 CH-2502 Biel-Bienne Phone (work): +41-323216488 Born February 28, 1977 in Germany. Citizen of Germany. 1.2 Brief Biography Christian Grothoff is a professor for computer network security at the Bern University of Applied Sciences, researching future Internet architectures. His research interests include compilers, programming languages, software engineering, networking, security and privacy. Previously, he was on the faculty of the Technische Universit¨atM¨unchen leading an Emmy-Noether research group in the area of computer net- works. He earned his PhD in computer science from UCLA, an M.S. in computer science from Purdue University, and both a Diplom II in mathe- matics and the first Staatsexamen in chemistry from the Bergische Univer- sit¨atGesamthochschule (BUGH) Wuppertal. 1.3 Education and Employment History 1996{2000 Diplom II (≈ M.S) in mathematics at BUGH Wuppertal 1996{2001 1.
    [Show full text]
  • 3D Visualization of Weather Radar Data Examensarbete Utfört I Datorgrafik Av
    3D Visualization of Weather Radar Data Examensarbete utfört i datorgrafik av Aron Ernvik lith-isy-ex-3252-2002 januari 2002 3D Visualization of Weather Radar Data Thesis project in computer graphics at Linköping University by Aron Ernvik lith-isy-ex-3252-2002 Examiner: Ingemar Ragnemalm Linköping, January 2002 Avdelning, Institution Datum Division, Department Date 2002-01-15 Institutionen för Systemteknik 581 83 LINKÖPING Språk Rapporttyp ISBN Language Report category Svenska/Swedish Licentiatavhandling ISRN LITH-ISY-EX-3252-2002 X Engelska/English X Examensarbete C-uppsats Serietitel och serienummer ISSN D-uppsats Title of series, numbering Övrig rapport ____ URL för elektronisk version http://www.ep.liu.se/exjobb/isy/2002/3252/ Titel Tredimensionell visualisering av väderradardata Title 3D visualization of weather radar data Författare Aron Ernvik Author Sammanfattning Abstract There are 12 weather radars operated jointly by SMHI and the Swedish Armed Forces in Sweden. Data from them are used for short term forecasting and analysis. The traditional way of viewing data from the radars is in 2D images, even though 3D polar volumes are delivered from the radars. The purpose of this work is to develop an application for 3D viewing of weather radar data. There are basically three approaches to visualization of volumetric data, such as radar data: slicing with cross-sectional planes, surface extraction, and volume rendering. The application developed during this project supports variations on all three approaches. Different objects, e.g. horizontal and vertical planes, isosurfaces, or volume rendering objects, can be added to a 3D scene and viewed simultaneously from any angle. Parameters of the objects can be set using a graphical user interface and a few different plots can be generated.
    [Show full text]
  • Columbia Photographic Images and Photorealistic Computer Graphics Dataset
    Columbia Photographic Images and Photorealistic Computer Graphics Dataset Tian-Tsong Ng, Shih-Fu Chang, Jessie Hsu, Martin Pepeljugoski¤ fttng,sfchang,[email protected], [email protected] Department of Electrical Engineering Columbia University ADVENT Technical Report #205-2004-5 Feb 2005 Abstract Passive-blind image authentication is a new area of research. A suitable dataset for experimentation and comparison of new techniques is important for the progress of the new research area. In response to the need for a new dataset, the Columbia Photographic Images and Photorealistic Computer Graphics Dataset is made open for the passive-blind image authentication research community. The dataset is composed of four component image sets, i.e., the Photorealistic Com- puter Graphics Set, the Personal Photographic Image Set, the Google Image Set, and the Recaptured Computer Graphics Set. This dataset, available from http://www.ee.columbia.edu/trustfoto, will be for those who work on the photographic images versus photorealistic com- puter graphics classi¯cation problem, which is a subproblem of the passive-blind image authentication research. In this report, we de- scribe the design and the implementation of the dataset. The report will also serve as a user guide for the dataset. 1 Introduction Digital watermarking [1] has been an active area of research since a decade ago. Various fragile [2, 3, 4, 5] or semi-fragile watermarking algorithms [6, 7, 8, 9] has been proposed for the image content authentication and the detection of image tampering. In addition, authentication signature [10, ¤This work was done when Martin spent his summer in our research group 1 11, 12, 13] has also been proposed as an alternative image authentication technique.
    [Show full text]
  • Metadefender Core V4.12.2
    MetaDefender Core v4.12.2 © 2018 OPSWAT, Inc. All rights reserved. OPSWAT®, MetadefenderTM and the OPSWAT logo are trademarks of OPSWAT, Inc. All other trademarks, trade names, service marks, service names, and images mentioned and/or used herein belong to their respective owners. Table of Contents About This Guide 13 Key Features of Metadefender Core 14 1. Quick Start with Metadefender Core 15 1.1. Installation 15 Operating system invariant initial steps 15 Basic setup 16 1.1.1. Configuration wizard 16 1.2. License Activation 21 1.3. Scan Files with Metadefender Core 21 2. Installing or Upgrading Metadefender Core 22 2.1. Recommended System Requirements 22 System Requirements For Server 22 Browser Requirements for the Metadefender Core Management Console 24 2.2. Installing Metadefender 25 Installation 25 Installation notes 25 2.2.1. Installing Metadefender Core using command line 26 2.2.2. Installing Metadefender Core using the Install Wizard 27 2.3. Upgrading MetaDefender Core 27 Upgrading from MetaDefender Core 3.x 27 Upgrading from MetaDefender Core 4.x 28 2.4. Metadefender Core Licensing 28 2.4.1. Activating Metadefender Licenses 28 2.4.2. Checking Your Metadefender Core License 35 2.5. Performance and Load Estimation 36 What to know before reading the results: Some factors that affect performance 36 How test results are calculated 37 Test Reports 37 Performance Report - Multi-Scanning On Linux 37 Performance Report - Multi-Scanning On Windows 41 2.6. Special installation options 46 Use RAMDISK for the tempdirectory 46 3. Configuring Metadefender Core 50 3.1. Management Console 50 3.2.
    [Show full text]
  • MPEG-7-Aligned Spatiotemporal Video Annotation and Scene
    MPEG-7-Aligned Spatiotemporal Video Annotation and Scene Interpretation via an Ontological Framework for Intelligent Applications in Medical Image Sequence and Video Analysis by Leslie Frank Sikos Thesis Submitted to Flinders University for the degree of Doctor of Philosophy College of Science and Engineering 5 March 2018 Contents Preface ............................................................................................................................................ VI List of Figures .............................................................................................................................. VIII List of Tables .................................................................................................................................. IX List of Listings .................................................................................................................................. X Declaration .................................................................................................................................... XII Acknowledgements ..................................................................................................................... XIII Chapter 1 Introduction and Motivation ......................................................................................... 1 1.1 The Limitations of Video Metadata.............................................................................................. 1 1.2 The Limitations of Feature Descriptors: the Semantic Gap .....................................................
    [Show full text]
  • Proceedings of the 8Th European Lisp Symposium Goldsmiths, University of London, April 20-21, 2015 Julian Padget (Ed.) Sponsors
    Proceedings of the 8th European Lisp Symposium Goldsmiths, University of London, April 20-21, 2015 Julian Padget (ed.) Sponsors We gratefully acknowledge the support given to the 8th European Lisp Symposium by the following sponsors: WWWLISPWORKSCOM i Organization Programme Committee Julian Padget – University of Bath, UK (chair) Giuseppe Attardi — University of Pisa, Italy Sacha Chua — Toronto, Canada Stephen Eglen — University of Cambridge, UK Marc Feeley — University of Montreal, Canada Matthew Flatt — University of Utah, USA Rainer Joswig — Hamburg, Germany Nick Levine — RavenPack, Spain Henry Lieberman — MIT, USA Christian Queinnec — University Pierre et Marie Curie, Paris 6, France Robert Strandh — University of Bordeaux, France Edmund Weitz — University of Applied Sciences, Hamburg, Germany Local Organization Christophe Rhodes – Goldsmiths, University of London, UK (chair) Richard Lewis – Goldsmiths, University of London, UK Shivi Hotwani – Goldsmiths, University of London, UK Didier Verna – EPITA Research and Development Laboratory, France ii Contents Acknowledgments i Messages from the chairs v Invited contributions Quicklisp: On Beyond Beta 2 Zach Beane µKanren: Running the Little Things Backwards 3 Bodil Stokke Escaping the Heap 4 Ahmon Dancy Unwanted Memory Retention 5 Martin Cracauer Peer-reviewed papers Efficient Applicative Programming Environments for Computer Vision Applications 7 Benjamin Seppke and Leonie Dreschler-Fischer Keyboard? How quaint. Visual Dataflow Implemented in Lisp 15 Donald Fisk P2R: Implementation of
    [Show full text]