This paper presents an efficient indexing and retrieval scheme for searching in document image databases. In many non-European languages, optical character recognizers are not very...
Conventional optical character recognition (OCR) systems operate on individual characters and words, and do not normally exploit document or collection context. We describe a Coll...
K. Pramod Sankar, C. V. Jawahar, Raghavan Manmatha
In this paper, we present a new cost model for nearest neighbor search in high-dimensional data space. We first analyze different nearest neighbor algorithms, present a generaliza...
We address the problem of designing data structures that allow efficient search for approximate nearest neighbors. More specifically, given a database consisting of a set of vecto...
Hausdorff metrics are used in geometric settings for measuring the distance between sets of points. They have been used extensively in areas such as computer vision, pattern recog...
Abstract. Nearest-neighbor queries in high-dimensional space are of high importance in various applications, especially in content-based indexing of multimedia data. For an optimiz...
In this paper, we identify and solve a new type of spatial queries, called continuous visible nearest neighbor (CVNN) search. Given a data set P, an obstacle set O, and a query li...
—Location information is necessarily uncertain when objects are constantly moving. The cost can be high to maintain precise locations at the application server for all the object...
Abstract. The paper describes a fast system for appearance based image recognition . It uses local invariant descriptors and efficient nearest neighbor search. First, local affine ...
This paper describes a novel method which extends the search algorithm of a k-d tree for aligning and merging range images. If the nearest neighbor point is far from a query, many...