8A_2_A containment-first search algorithm for higher-order analysis of urban ...
7B_3_Matterhorn on the horizon
1. Martin Tomko, Ross S. Purves Matterhorn on the Horizon Identification of Salient Mountains for Image Annotation martin.tomko@geo.uzh.ch www.geo.uzh.ch/~mtomko
2. TRIPOD x,y,z,A View of Eiffel Tower in Paris View of Eiffel Tower in Paris x,y,z,A x,y,z,A View of Eiffel Tower in Paris
4. Overview Climb every mountain... Start from the most salient! EXIF Metadata and Camera DB Footprint Services: Viewport and Viewshed Data Processing/Mapping/Services & Configurations Tools Ongoing: Salience Computation
6. Overview EXIF Metadata and Camera DB Footprint Services: Viewport and Viewshed Data Processing/Mapping/Services & Configurations Tools Ongoing: Salience Computation But what’s it called?
17. Future work Larger evaluation Qualitative description of the horizon Consider distance, valleyness Explore landform shape salience, texture, name ridges,… Explore semantic salience (crowdsourced data)
18. Overview Climb every mountain,Ford every stream, Follow every rainbow,Till you find your dream. EXIF Metadata and Camera DB Footprint Services: Viewport and Viewshed Data Processing/Mapping/Services & Configurations Tools Ongoing: Salience Computation
19. Overview Thank you! EXIF Metadata and Camera DB Footprint Services: Viewport and Viewshed Data Processing/Mapping/Services & Configurations Tools Ongoing: Salience Computation
Hinweis der Redaktion
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
Region = bounded geographic footprintProminence -> e.g., visual salience, have been previously studied for the identification of individual prominent spatial features
