PPT-Collaborative Design of an Image Annotation Tool for Oceano

Author : calandra-battersby | Published Date : 2018-01-06

Authors Joe Futrelle Amber York Woods Hole Oceanographic Institution Imaging FlowCytobot Heidi Sosik et al HabCam Scott Gallager et al SeaBED Hanumat Singh et

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Collaborative Design of an Image Annotation Tool for Oceano: Transcript

Authors Joe Futrelle Amber York Woods Hole Oceanographic Institution Imaging FlowCytobot Heidi Sosik et al HabCam Scott Gallager et al SeaBED Hanumat Singh et al Phytoplankton . Thesis Proposal. Tao Huang. taohuang@cs.indiana.edu. Outline. Introduction. Motivation. Related System Survey. Research Issues. Milestones. Contributions. Introduction. Annotation Definitions. A commentary on an object that: (Cousins et al. 2000). Tao Huang, . Shrideep. . Pallickara. , Geoffrey Fox. Community Grids Lab. Indiana University, Bloomington. . {. taohuang. , . spallick. , . gcf}@indiana.edu. Outline. Analysis of existing Collaboration and Annotation Systems. Philip . McParlane. , Yashar Moshfeghi and Joemon M. Jose. University of Glasgow, UK. http://www.dcs.gla.ac.uk/~philip/. p.mcparlane.1@research.gla.ac.uk. Motivation for annotating images. Problems with existing automatic image annotation collections. Thesis Proposal. Tao Huang. taohuang@cs.indiana.edu. Outline. Introduction. Motivation. Related System Survey. Research Issues. Milestones. Contributions. Introduction. Annotation Definitions. A commentary on an object that: (Cousins et al. 2000). ConceptRank. Petra Budíková, Michal Batko, Pavel Zezula. Outline. Search-based annotation. Motivation. Problem formalization. Challenges. ConceptRank. Idea. Semantic network construction. PageRank and ConceptRank. G053: . Lesson . 07. Design. Tools and Techniques. Learning Outcome. Understand different tools and techniques which can be used to design a website. Understand the benefits of using a template within website design,. Petra Bud. íková, FI MU. CEMI meeting, Plze. ň. , 1. 6. . . 4. . 2014. Formalization. The annotation problem is . defined by a . query image . I. . and a . vocabulary . V. of candidate concepts. (ideas for . joint journal paper). CEMI meeting, Praha, 14. 3. 2014. Outline. Introduction. Why annotations?. State-of-the-art in multimedia annotation. Search-based image annotation. What. . we. . Source:. Editors. Title:. DEL05.x: Annotation tool - Draft requirements study for an annotation tool - Att.1: Presentation. Purpose:. Discussion. Contact:. Marc Lecoultre. E-mail: . ml@mllab.ai . Abstract:. Tao Huang, . Shrideep. . Pallickara. , Geoffrey Fox. Community Grids Lab. Indiana University, Bloomington. . {. taohuang. , . spallick. , . gcf}@indiana.edu. Outline. Analysis of existing Collaboration and Annotation Systems. Inspirations, ideas . &. plans. Motivation. Ideal situation: general-purpose image annotation with unlimited vocabulary. Reality:. Classifiers with limited vocabulary and dependency on labeled training data. Omeka. Mikhail Livshits. Install. Download . the plugin at . http://omeka.org/add-ons/plugins/image-annotation. /. Upload folder to /. omeka. /plugins. Configure. Log in to . Omeka. Admin .  Manage Plugins  Configure (next to Image Annotation. Uri Avni , Tel Aviv University, Israel. Hayit. Greenspan Tel Aviv University, Israel. . Jacob Goldberger Bar . Ilan. University, Israel. Outline. Challenge description. Proposed system. Image representation. Collaborative. . Interaction. - . Exercise. https://tedco.se/. . Summary. & Learning . goals. The students . work. . practically. . with. relevant . factors. for . performing. . field. research .

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