Search (6 results, page 1 of 1)

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Date

22. 1.2012 13:01:26

Source

Annual review of information science and technology. 42(2008), S.3-42

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Abstract

Surveys theoretical and practical issues associated with a particular type of information retrieval problem, where the information involves still or moving pictorial images. Reviews some of the world's major pictorial collections and discusses the practical aspects of electronic image collections: cataloguing; iamge capture and storage; image compression; image transmission and display. Considers available techniques for the logical access to visually encoded knowldge (ICONCLASS; TELCLASS; Gibbs-Smith; and the Art and Architecture Thesaurus), concentrating on issues relating to the subject indexing of images and describes 4 models for pictorial information retrieval corresponding to permutations of the verbal and visual modes for the representation of picture content and information need

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Abstract

Discusses collections of still image material in which the ability to store is not matched by retrieval capability. Examines the form and content of user requests for visual information by analysing those from the Hulton Deutsch collection. Addresses the search procedures of the staff in recording and processing requests; categorisation of request by subject and user type; the specifity of request terminology and the determinants of search output. Considers the library's classification scheme as an indexing language, an access mechanism and as an analytic tool for characterising requests

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Abstract

Reports on an analysis of user queries addressed to 7 UK libraries which managed archives of still and moving image material. Taken together with the findings of an earlier study which focused on a single, large archive of still image material, the project demonstrates the possibility of formulating a general categorization of requests which seek still and moving image material. Describes a possible means of enhancing retrieval effectiveness in unmediated image request environments

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Abstract

Describes a project in which an analysis was undertaken of user queries addressed to 7 libraries which manage archives of widely varying still and moving image material. Describes the sampling procedure, in which queries obtained from each library were broadly categorized by image content, identification and accessibility. Focuses on the image content requests, for which a categorization based on facet analysis is developed. The analytical tool which is used for this purpose is based on a schema already well established for the analysis of levels of meaning in images. The project demonstrates the possibility of formulating a general categorization of requests which seek widely different still and moving image material. Concludes with observations on the potential value of embedding such a schema within the user interface of unmediated query visual information retrieval systems

Source

Journal of information science. 23(1997) no.4, S.287-299

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Abstract

Purpose - To provide a better-informed view of the extent of the semantic gap in image retrieval, and the limited potential for bridging it offered by current semantic image retrieval techniques. Design/methodology/approach - Within an ongoing project, a broad spectrum of operational image retrieval activity has been surveyed, and, from a number of collaborating institutions, a test collection assembled which comprises user requests, the images selected in response to those requests, and their associated metadata. This has provided the evidence base upon which to make informed observations on the efficacy of cutting-edge automatic annotation techniques which seek to integrate the text-based and content-based image retrieval paradigms. Findings - Evidence from the real-world practice of image retrieval highlights the existence of a generic-specific continuum of object identification, and the incidence of temporal, spatial, significance and abstract concept facets, manifest in textual indexing and real-query scenarios but often having no directly visible presence in an image. These factors combine to limit the functionality of current semantic image retrieval techniques, which interpret only visible features at the generic extremity of the generic-specific continuum. Research limitations/implications - The project is concerned with the traditional image retrieval environment in which retrieval transactions are conducted on still images which form part of managed collections. The possibilities offered by ontological support for adding functionality to automatic annotation techniques are considered. Originality/value - The paper offers fresh insights into the challenge of migrating content-based image retrieval from the laboratory to the operational environment, informed by newly-assembled, comprehensive, live data.