Presentation on theme: "Features Accurate annotation – Average key point number for each object is more than 100. (see counts histogram on website) Multiple annotation methods."— Presentation transcript:
Features Accurate annotation – Average key point number for each object is more than 100. (see counts histogram on website) Multiple annotation methods – Labelmap, sketch, hierarchical decomposition, geometry information
Examples: Airplane (Frontal-side view) Lotus Hill Transportation 9 http://www.imageparsing.com/subset1.html http://www.imageparsing.com/subset1.html Subset content ContentHierarchical decomposition of close-up objects Number of images Publicly accessible 209 Internal testing 4558 Object category airplane, bicycle, bus, car, tractor, truck, sailboat, helicopter, motorcycle Multiple views Objects are groups into multiple views. Related publicatio ns Liang Lin et al. An Empirical Study of Object Category Recognition: Sequential Testing and Generalized Samples. (ICCV), 2007 Each node of the labeling tree includes ‘image patch’ and ‘sketch’.
Original images: Annotations LHI_UIUC Activities 10 http://www.imageparsing.com/subset2.html http://www.imageparsing.com/subset2.html Original ImageLabel mapSkeleton Subset content ContentTypical images of 10 types of sport activities Number of images Publicly accessible 100 Internal testing 2512 Activity category Badminton, bocce, croquet, hurdles, ice skate, polo, rock climbing, rowing, sailing, snowboarding Other features Geometry annotation, Human skeleton template Related publications L.-J. Li and L. Fei-Fei. What, where and who? Classifying event by scene and object recognition. ICCV 2007
LHI_UIUC Activities 10 http://www.imageparsing.com/subset2.html http://www.imageparsing.com/subset2.html Dashed green line is the horizontal line, blue points are two vanishing points. Geometrical labeling Human body gesture is labeled using a skeleton template (each key point on the skeleton has a unique id ). Human skeleton template
LHI_UCLA Aerial Image 5 http://www.imageparsing.com/subset3.html http://www.imageparsing.com/subset3.html Subset content ContentFive categories of aerial images Number of imagesPublicly accessible 100, Internal testing 2512 Scene categories school, residential area, parking lots, marina, highway intersections Original image
Examples: Clock LHI Manmade Object 75 & LHI Natural Object 40 http://www.imageparsing.com/subset4.html http://us.imageparsing.com/subset5.html http://www.imageparsing.com/subset4.htmlhttp://us.imageparsing.com/subset5.html Subset content ContentHierarchical decomposition of close-up manmade objects and natural animals Number of images Manmade objects: Publicly accessible 750 Internal testing 9874 Natural objects: Publicly accessible 400 Internal testing 6596 Object category See webpage Related publicatio ns Liang Lin et al. An Empirical Study of Object Category Recognition: Sequential Testing and Generalized Samples. (ICCV), 2007 Each node of the labeling tree includes ‘image patch’ and ‘sketch’.
Original images: Annotations Lotus Hill Objects & Scene http://www.imageparsing.com/subset6.html http://www.imageparsing.com/subset6.html Subset content ContentSegmentation of common scenes & hierarchical decomposition of salient objects Number of images Publicly accessible 180 Internal testing 1310 Scene category Outdoor: highway, parking, street Indoor: kitchen, office, meeting FeaturesObjects are putted in real scenes with different viewing angles and scaling highwaykitchenofficemeetingparkingstreet Original ImageLabel mapSketch Hierarchical decomposition
LHI Scene Segmentations http://www.imageparsing.com/subset7.html http://www.imageparsing.com/subset7.html Subset content ContentSegmentation of outdoor and indoor images Number of imagesPublicly accessible 264, Internal testing 6545 Scene categories Outdoor: street,, harbor, highway… Indoor: bathroom, bedroom, corridor (see webpage for details)