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Image retrieval by end-users and intermediaries in a journalistic work context

Published: 18 October 2006 Publication History

Abstract

This paper describes a study on the image searching behavior of end-users (journalists) and intermediaries (archivists) in a newspaper editorial office. Image queries by end-users and requests to intermediaries were analyzed, compared and categorized according to typologies from literature. The process of image selection was modeled and selection criteria were studied based on interviews, observation and a survey. The results indicate that most image queries and requests dealt with specific entities, but that object types were also common. Thematic image needs seem to be fulfilled by end-user searching and browsing rather than by requests. Image retrieval tasks were highly influenced by contextual factors. Relevance assessments were made at situational level using several types of criteria, including abstract and affective factors. Several types of collaborative searches were observed. Richer research and analysis methods are needed to characterize journalists' image needs and searching behavior.

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  1. Image retrieval by end-users and intermediaries in a journalistic work context

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    cover image ACM Other conferences
    IIiX: Proceedings of the 1st international conference on Information interaction in context
    October 2006
    187 pages
    ISBN:1595934820
    DOI:10.1145/1164820
    • Program Chair:
    • Ian Ruthven
    Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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    Publication History

    Published: 18 October 2006

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    • (2021)Hybrid Research on Relevance Judgment and Eye Movement for Reverse Image SearchDiversity, Divergence, Dialogue10.1007/978-3-030-71292-1_19(211-228)Online publication date: 19-Mar-2021
    • (2020)Recommender Systems Leveraging Multimedia ContentACM Computing Surveys10.1145/340719053:5(1-38)Online publication date: 28-Sep-2020
    • (2019)Image needs on social Q&A sites: a comparison of Zhihu and Baidu ZhidaoThe Electronic Library10.1108/EL-09-2018-0192Online publication date: 3-Jun-2019
    • (2018)Images in Social Media: Categorization and Organization of Images and Their CollectionsSynthesis Lectures on Information Concepts, Retrieval, and Services10.2200/S00821ED1V01Y201712ICR06210:1(i-101)Online publication date: 6-Feb-2018
    • (2018)Users’ relevance criteria for video in leisure contextsJournal of Documentation10.1108/JD-06-2017-008174:1(62-79)Online publication date: 8-Jan-2018
    • (2017)Effects of relevance criteria and subjective factors on web image searching behaviourJournal of Information Science10.1177/016555151666696843:6(786-800)Online publication date: 1-Dec-2017
    • (2016)Computational Methods for Integrating Vision and LanguageSynthesis Lectures on Computer Vision10.2200/S00705ED1V01Y201602COV0076:1(1-227)Online publication date: 20-Apr-2016
    • (2016)Expeditions through image junglesJournal of Documentation10.1108/JD-01-2014-001972:1(5-23)Online publication date: 11-Jan-2016
    • (2015)On the selection of trending image from the web2015 IEEE International Conference on Multimedia and Expo (ICME)10.1109/ICME.2015.7177413(1-6)Online publication date: Jun-2015
    • (2015)Improving the Detection of Relations Between Objects in an Image Using Textual SemanticsPattern Recognition Applications and Methods10.1007/978-3-319-25530-9_9(133-145)Online publication date: 20-Nov-2015
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