Search (5 results, page 1 of 1)

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Abstract

This article presents exploratory research evaluating a conceptual structure for the description of visual content of images. The structure, which was developed from empirical research in several fields (e.g., Computer Science, Psychology, Information Studies, etc.), classifies visual attributes into a "Pyramid" containing four syntactic levels (type/technique, global distribution, local structure, composition), and six semantic levels (generic, specific, and abstract levels of both object and scene, respectively). Various experiments are presented, which address the Pyramid's ability to achieve several tasks: (1) classification of terms describing image attributes generated in a formal and an informal description task, (2) classification of terms that result from a structured approach to indexing, and (3) guidance in the indexing process. Several descriptions, generated by naive users and indexers, are used in experiments that include two image collections: a random Web sample, and a set of news images. To test descriptions generated in a structured setting, an Image Indexing Template (developed independently over several years of this project by one of the authors) was also used. The experiments performed suggest that the Pyramid is conceptually robust (i.e., can accommodate a full range of attributes), and that it can be used to organize visual content for retrieval, to guide the indexing process, and to classify descriptions obtained manually and automatically

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Abstract

General considerations in still image indexing are addressed, and theoretical foundations and major approaches to image indexing among several communities are explained. The most frequently used tools that support this endeavor are discussed. Newer approaches are considered, and major research topics for the future are presented.

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Abstract

The potential impact of the Internet an the public's Jemand for the services and resources of public libraries is an issue of critical importance. The research reported in this article provides baseline data concerning the evolving relationship between the public's use of the library and its use of the Internet. The authors developed a consumer model of the American adult market for information services and resources, segmented by use (or nonuse) of the public library and by access (or lack of access) to, and use (or nonuse) of, the Internet. A national Random Digit Dialing telephone survey collected data to estimate the size of each of six market segments, and to describe their usage choices between the public library and the Internet. The analyses presented in this article provide estimates of the size and demographics of each of the market segments; describe why people are currently using the public library and the Internet; identify the decision criteria people use in their choices of which provider to use; identify areas in which libraries and the Internet appear to be competing and areas in which they appear to be complementary; and identify reasons why people choose not to use the public library and/or the Internet. The data suggest that some differentiation between the library and the Internet is taking place, which may very well have an impact an consumer choices between the two. Longitudinal research is necessary to fully reveal trends in these usage choices, which have implications for all types of libraries in planning and policy development.

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Abstract

This article reports the analysis of two samples of search logs from a commercial image provider over a 1-month period. The study analyzes image searches and queries, user query modification strategies, and user browsing and downloading of results. Unique term searches are less frequent than earlier research has shown; descriptive and thematic queries are more common. Boolean searching, although heavily employed, appears to be ineffective and leads to query modifications. Although there was a large amount of query modification (61.7% of queries across the two sampies), the tactics overall do not appear to be carefully thought out and seem to be largely experimental. Given the willingness to modify queries but the inability to do so in an effective way, more support for query modification may be beneficial.

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Abstract

Metadata describing multimedia can address a wide variety of purposes, from the purely physical characteristics of an item, to the circumstances surrounding its production, to attributes that cannot necessarily be determined by examining the item itself directly. These latter attributes, often dealing with "meaning" or interpretation of an item's content, are frequently deemed too difficult to determine and subject to individual and cultural variability. At the same time, however, research has shown that these abstract, interpretive attributes, which carry meaning, are frequently the ones for which people search. To describe an item fully, therefore, means to describe it at both the "syntactic" and the "semantic" levels. This article discusses the development of the semantic description schemes within the MPEG-7 standard from both a historical and an intellectual perspective, as well as the difficulties inherent in creating a descriptive schema that can fully capture the complexity of "narrative worlds."