A novel algorithm for indexing multiple crystals in snapshot X-ray diffraction images, especially suited for serial crystallography data, is presented. The algorithm, FELIX, utilizes a generalized parametrization of the Rodrigues-Frank space, in which all crystal systems can be represented without singularities. The new algorithm is shown to be capable of indexing more than ten crystals per ima...

This paper describes an approach to personalized image indexing and retrieval. To tackle the issue of subjectivity in Content-Based Image Retrieval (CBIR), users can define their own indexing vocabulary and make the system learn it. These indexing concepts may be both local (objects) and global (image categories). The system guides the user in the selection of relevant training examples. Concep...

One of the most significant recent advances in health information systems has been the shift from paper to electronic documents. While research on automatic text and image processing has taken separate paths, there is a growing need for joint efforts, particularly for electronic health records and biomedical literature databases. This work aims at comparing text-based versus image-based access ...

Image retrieval and image compression are both very active elds of research. Unfortunately, in the past they were pursued independently leading to image indexing methods being both eÆcient and e ective but restricted to uncompressed images. In this paper we introduce an image retrieval technique that operates in the compressed domain of vector quantised images. Vector quantization (VQ) achieves...

In this article, we discuss the potential benefits, the requirements and the challenges involved in patent image retrieval and subsequently, we propose a framework that encompasses advanced image analysis and indexing techniques to address the need for content-based patent image search and retrieval. The proposed framework involves the application of document image pre-processing, image feature...

Indexing multimedia Web documents can be regarded as an important part of Web engineering, a concept first proposed [19] by one of the authors and his collaborators in 1998 at the World Wide Web WWW7 conference in Brisbane, Australia. Contentbased indexing of multimedia has always been a challenging task. The enormity and diversity of the multimedia content on the World Wide Web (WWW) adds anot...

Motivated by Chernoff’s bound on asymptotic probability of error we propose the alpha-divergence measure and a surrogate, the alpha-Jensen difference, for indexing and retrieval in image and other databases. The alpha-divergence, also known as Renyi divergence, is a generalization of the Kullback-Liebler divergence and the Hellinger/Battacharya distance between the probability density character...

In computer vision, the indexing problem is the problem of recognizing a few objects in a large database of objects while avoiding the help of the classical image-feature-to-object-feature matching paradigm. In this paper we address the problem of recognizing 3-D polyhedral objects from 2-D images by indexing. Both the objects to be recognized and the images are represented by weighted graphs. ...

Image indexing is the process of image retrieval from databases of images or videos based on their contents. Specifically, histogram-based algorithms are considered to be effective for color image indexing. We suggest a new method of color space quantization in the CIELUV color space, named weighted LUV quantization. With this method, each bin in the LUV space has a different weighting factor, ...

As digital image libraries grow, methods for indexing and searching such libraries based on image content become more important. In this paper we focus on three speciic approaches to the representation of images for content-based image indexing and retrieval 13,20,29] although others will be discussed brieey. The work of 13] represents one of many methods which blends color histograms with some...