The goal of the MuST project is to develop a prototype system to facilitate not only retrieving documents from multilingual collections, but also to summarize and translate the retrieved document into the user’s preferred language. We focus on the integration of state-of-the-art technologies, try to…
This paper formulates and solves a new variant of the stereo correspondence problem: simultaneously recovering the disparities, true colors, and opacities of visible surface elements. This problem arises in newer applications of stereo reconstruction, such as view interpolation and the layering of real imagery with…
SUMMARIST is an attempt to create a robust automated text summarization system, based on the ‘equation’: summarization = topic identification + interpretation + generation. Each of these stages contains several independent modules, many of them trained on large corpora of text. We describe the system’s…
This paper presents a new approach to computing dense depth and motion estimates from multiple images. Rather than computing a single depth or motion map from such a collection, we associate motion or depth estimates with each image in the collection (or at least some…
This paper consists of three parts: a preliminary typology of summaries in general; a description of the current and planned modules and performance of the SUMMARIST automated multilingual text summarization system being built sat ISI, and a discussion of three methods to evaluate summaries.
Recovering the shape of an object from two views fails at occluding contours of smooth objects because the extremal contours are view dependent. For three or more views, shape recovery is possible, and several algorithms have recently been developed for this purpose. We present a…
Over the past two years we have been developing the text summarization system SUMMARIST. In this paper, we describe the current status of SUMMARIST and its use in TIPSTER Phase III text summarization research.
In this paper a new measurement algorithm is presented which generates height measurements and their associated errors from a single known physical measurement in an image. The method draws on results from projective geometry and computer vision. A height measurement is obtained from each frame…
An object model for computer graphics applications should contain two aspects of information: shape and reflectance properties of the object. A number of techniques have been developed for modeling object shapes by observing real objects. In contrast, attempts to model reflectance properties of real objects…
As the amount of on-line text keeps growing, it becomes increasing difficult for humans to process the deluge of information in the time available. We need automatic text processing systems to help us scan through huge volume of texts, route them to relevant parties, filter…
Using vision to measure world distances requires that both measurements and their uncertainties can be determined and modelled. The work described in this report develops the theory of computing distances using only images and an uncertainty analysis which includes both the errors in image localisation…
This paper examines the fundamental ambiguities and uncertainties inherent in recovering structure from motion. By examining the eigenvectors associated with null or small eigenvalues of the Hessian matrix, we can quantify the exact nature of these ambiguities and predict how they affect the accuracy of…
