PPT-Addressing the Medical Image Annotation Task using visual words representation

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. They are the health information management professionals responsible for reviewing all tests diagnoses procedures results and medications and assigning them a code for billing and record keeping pu rposes Their work requires substantial clinical und Automatic Caption Generation for News Images. Ashish. . Bagate. Yansong. . Feng. and . Mirella. . Lapata. What this paper is about. Explore the feasibility of automatic caption generation for images in news domain. The Frontiers of Vision Workshop, August 20-23, 2011. Song-Chun Zhu. Marr’s observation: studying . vision at . 3 levels. The Frontiers of Vision Workshop, August 20-23, 2011. tasks. Visual . Representations. Distinctively Visual relates to how images or imagery have a unique ability to impact on people.. If something is distinctive it is . different from others. or . unique. or . rare. .. Henry Lawson wrote stories that included some . &. Text Coding. Learning Target. I can determine a central idea of a text and how it is conveyed through particular details; provide a summary of the text distinct from personal opinions or judgments. . To explore the difference between reality and representation in media texts. Defining representation . What does . representation. . mean?. The . portrayal. of someone or something in a . particular way. Nikhil . Rasiwasia. , . Nuno. . Vasconcelos. Statistical Visual Computing Laboratory. University of California, San Diego. Thesis Defense. Ill pause for a few moments so that you all can finish reading this. . 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. The Frontiers of Vision Workshop, August 20-23, 2011. Song-Chun Zhu. Marr’s observation: studying . vision at . 3 levels. The Frontiers of Vision Workshop, August 20-23, 2011. tasks. Visual . Representations. 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. . Linda Shapiro. 1. Bag-of-words models. Orderless. document representation: frequencies of words from a dictionary . Salton & McGill (1983. ). Retrieve documents based on matching words in a query to frequencies of words in the document. 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.