PPT-Search-based image annotation

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ideas for joint journal paper CEMI meeting Praha 14 3 2014 Outline Introduction Why annotations Stateoftheart in multimedia annotation Searchbased image annotation

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Search-based image annotation: Transcript

ideas for joint journal paper CEMI meeting Praha 14 3 2014 Outline Introduction Why annotations Stateoftheart in multimedia annotation Searchbased image annotation What we . BCB 660. October 20, 2011. From Carson Holt. Annotations. Automated. Ab. initio. (based on genomic sequence alone). Involves comparisons to known proteins (BLAST similarity). Sequence motifs such as start/stop . Scene Reprojection. Lei Yang. 1. , Yu-Chiu Tse. 1. , . Pedro Sander. 1. , Jason Lawrence. 2. , Diego Nehab. 3,4. , . Hugues. Hoppe. 3. , . Clara Wilkins. 5. 1. 2. 3. 4. 5. Outline. Reprojection and data reuse. We have developed an image-based object search system suitable for mobile platforms that uses an interactive segmentation technique as a front-end. Figure 1 shows an overview and example result from 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. RuSSIR Young Scientist Conference,. 24-28| 2015| St. Petersburg, Russia. Arshad Khan. School of Electronics & Computer Science,. University of Southampton, UK. Overview. Searching in online repositories of multidisciplinary research data is becoming a challenge due to the volume and types of data being published every year. 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 . ConceptRank. Petra Budíková, Michal Batko, Pavel Zezula. Outline. Search-based annotation. Motivation. Problem formalization. Challenges. ConceptRank. Idea. Semantic network construction. PageRank and ConceptRank. All slides ©Addison Wesley, 2008. Beyond Bag of Words. “Bag of Words”. a document is considered to be an unordered collection of words with no relationships. Extending representation. feature-based models. 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. 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. Patient Cohort Retrieval . Sanda. . Harabagiu. , . PhD. , Travis Goodwin, Ramon Maldonado, Stuart Taylor . The . Human Language Technology Research Institute. University of Texas at Dallas. Human Language Technology. Specific vs. Generic Search Instructions. James Dyar and Aaron Gluck. . . . . . Methodology. Introduction. Results. Discussion. Conclusion. They Did Not Expect Him. Ilya Repin. 1884-1888....

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