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Text Analysis for Picture and Movie Generation: Technologies and Algorithms Overview

This document explores the integration of text analysis into picture and movie generation, detailing general and specific diagrams that depict the processes involved. It examines the technologies and algorithms utilized in three areas: text, images, and ontology, with specific programming languages and environments outlined, including Java and MATLAB. Various tools and packages like Stanford Parser, LabelMe, and Protégé are discussed. The report concludes with final remarks on the project's outcomes and future directions, providing a comprehensive understanding for developers and researchers in this field.

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Text Analysis for Picture and Movie Generation: Technologies and Algorithms Overview

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  1. “Text Analysis for picture/movie generation” David Leoni Eduardo Cárdenas Bucarest, 21-Nov11

  2. Contents • General Diagram • Specific Diagrams • Technologies and Algorithms • Conclusions and final remarks

  3. 1.General diagram

  4. 2.Specific diagram(Text)

  5. 2.Specific diagram(Images)

  6. 2. Specific diagram(Ontology)

  7. 3. Technologies and algorithms(Text) • Programmation Language: • Java • Programming Environment: • Netbeans • Packages: • Stanford Parser • Additional Packages: • Image Generator • Other options: • Gate, NLTK.

  8. 3. Technologies and algorithms(Image) • Programmation Language: • MATLAB, Java • Programming Environment: • Netbeans • Packages: • LabelMe • XOM • Image Processing (Crop, class, merge class, etc. ) • Other options: • Image J, Marvin, Flickr, etc.

  9. 3. Technologies and algorithms(Ontology) • Editor: • Protégé 4.1 • RDF engine: • OWLimLite • Upper ontology: • Wordnet • Other options: • Umbel, Sumo, Darwin Core

  10. 3. Technologies and algorithms(General project) • Programmation Language: • Java • Programming Environment: • NetBeans • RDF engine: • OWLIM lite • Packages: • XOM • Image Processing (awt) • Web server: • Apache Tomcat 7.0 • JSP

  11. 3. Technologies and algorithms(General project) • Documentation: • Google Wiki • Versioning: • SVN • Project Web Page: • http://code.google.com/p/nlpainter/

  12. Class schema

  13. 4. Conclusions and final remarks We have a hello world…..

  14. Thank you!

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