scispace - formally typeset
Journal ArticleDOI

User's relevance criteria in image retrieval in American history

TLDR
The study found that the user's perception of topicality was still the most important factor across the information-seeking stages, however, the users decided on retrieved items according to a variety of criteria other than topicality.
Abstract
A large number of digital images are available and accessible due to recent advances in technology. Since image retrieval systems are designed to meet user information needs, it seems apparent that image retrieval system design and implementation should take into account user-based aspects such as information use patterns and relevance judgments. However, little is known about what criteria users employ when making relevance judgments and which textual representations of the image help them make relevance judgments in their situational context.Thus, this study attempted to investigate the criteria which image users apply when making judgments about the relevance of an image. This research was built on prior work by Barry, Schamber and others which examined relevance criteria for textual and non-textual documents, exploring the extent to which these criteria apply to visual documents and the extent to which new and different criteria apply. Data were collected from unstructured interviews and questionnaires. Quantitative statistical methods were employed to analyze the importance of relevance criteria to see how much each criterion affected the user's judgments. The study involved 38 faculty and graduate students of American history in 1999 in a local setting, using the Library of Congress American memory photo archives.The study found that the user's perception of topicality was still the most important factor across the information-seeking stages. However, the users decided on retrieved items according to a variety of criteria other than topicality. Image quality and clarity was important. Users also searched for relevant images on the basis of title, date, subject descriptors, and notes provided. The conclusions of this study will be useful in image database design to assist users in conducting image searches. This study can be helpful to future relevance studies in information system design and evaluation.

read more

Citations
More filters
Journal ArticleDOI

Image retrieval: Ideas, influences, and trends of the new age

TL;DR: Almost 300 key theoretical and empirical contributions in the current decade related to image retrieval and automatic image annotation are surveyed, and the spawning of related subfields are discussed, to discuss the adaptation of existing image retrieval techniques to build systems that can be useful in the real world.
Journal IssueDOI

Relevance: A review of the literature and a framework for thinking on the notion in information science. Part II: nature and manifestations of relevance

TL;DR: The data presented here suggest that creativity is expressed in different ways, at different times, and with different intensities in academic information science.

Synthesis Lectures on Information Concepts, Retrieval, and Services

TL;DR: This book describes and evaluates a range of webicators for aspects of societal or scholarly impact, discusses the theory and practice of using and evaluating web indicators for research assessment and outlines practical strategies for obtaining many web indicators.
Journal ArticleDOI

Bag-of-Words Representation in Image Annotation: A Review

TL;DR: This paper reviews related works based on the issues of improving and/or applying BoW for image annotation to automatically assign keywords to images, so image retrieval users are able to query images by keywords.
Journal IssueDOI

Relevance judgment: What do information users consider beyond topicality?

TL;DR: A five-factor model of relevance is proposed on the basis of Grice's theory of communication: topicality, novelty, reliability, understandability, and scope, which finds topicality and novelty to be the two essential relevance criteria.
References
More filters
Journal ArticleDOI

Information filtering and information retrieval: two sides of the same coin?

TL;DR: Models of information retrieval and filtering, and lessons for filtering from retrieval research are presented; users see only the data that is extracted.

Information needs and uses

TL;DR: Etude de synthese sur les besoins d'information et les utilisateurs, menee a partir d'une revue de la litterature parue depuis 1978 as mentioned in this paper.
Journal ArticleDOI

Relevance: a review of and a framework for the thinking on the notion in information science

TL;DR: Information science emerged as the third subject, along with logic and philosophy, to deal with relevance-an elusive, human notion that is traced to the problems of scientific communication.
Book

Information Retrieval Interaction

TL;DR: This electronic version was converted to PDF from the original manuscript with no changes apart from typographical adjustments and it has been ensured that the page numbering of the electronic version matches that of the printed version.
Journal ArticleDOI

Relevance: the whole history

TL;DR: This article presents the history of relevance through an exhaustive review of the literature under seven different aspects (methodological foundations, different kinds of relevance, beyond-topical criteria adopted by users, modes for expression of the relevance judgment, dynamic nature of relevance), and types of document representation.
Related Papers (5)