ShapeExplorer: Querying and exploring shapes using visual knowledge Conference Paper uri icon


  • ABSTRACT With unprecedented amounts of multimodal data on the Internet, there is an increasing demand for systems with a more fine-grained understanding of visual data. ShapeExplorer is an interactive software tool based on a detailed analysis of images in terms of object shapes and parts. For instance, given an image of a donkey, the system may rely on previously acquired knowledge about zebras and dogs to automatically locate and label the head, legs, tail, and so on. Based on such semantic models, ShapeExplorer can then generate morphing animations, synthesize new shape contours, and support object part-based queries as well as clipart-based image retrieval.

publication date

  • January 1, 2016