We developed a framework for visual-context-aware object detection from still images. The concept is based on a sparse coding of contextual features, which are based on geometry and texture. We have evaluated our method on a novel demanding image data set and compared it to a state-of-the-art method for context-aware object detection.
COBISS.SI-ID: 7684180
We developed a novel user interface concept for camera phones. Instead of typing keywords on a small and inconvenient keypad, a user just snaps a photo of her surroundings and objects in the image become hyperlinks to information. System first matches a query image to reference panoramas depicting and then augments the query image with hyperlinks to information about preannotated object in the image. Such visualization combined with touch screen allows the user intuitive access to information.
COBISS.SI-ID: 7883604