Traditional scenario of probabilistic modelling is directed at generating samples having a given probability distribution. We argue that this scenario is impracticable for image m...
This paper describes the design and evaluation of an extractive summarizer for educational science content called COGENT. COGENT extends MEAD based on strategies elicited from an ...
Sebastian de la Chica, Faisal Ahmad, James H. Mart...
This paper presents a simple and active calibration technique of camera-projector systems based on planar homography. From the camera image of a planar calibration pattern, we gene...
This paper introduces a new mid-level feature, the consistent line cluster, for use in content-based image retrieval. The color, orientation, and spatial features of line segments...
This paper explores a new method for analysing and comparing image histograms. The technique amounts to a novel way of backprojecting an image into one with fewer, statistically s...