This dissertation focuses on investigating whether users will locate desired images more efficiently and effectively when they are provided with information descriptors from both experts and the general public. This study develops a way to support image finding through a human-computer interface by providing subject headings and social tags about…

A rapid scene indexing method is proposed to improve retrieval performance for students accessing instructional videos. This indexing method is applied to anchor suitable indices to the instructional video so that students can obtain several small lesson units to gain learning mastery. The method also regulates online course progress. These…

Introduction: The purpose of this study is to compare characteristics and features of user supplied tags and search query terms for images on the "Flickr" Website in terms of categories of pictorial meanings and level of term specificity. Method: This study focuses on comparisons between tags and search queries using Shatford's categorization…

This study investigates the relationships between the use of a zoom tool, the terms they supply to describe the image, and the type of image being viewed. Participants were assigned to two groups, one with access to the tool and one without, and were asked to supply terms to describe forty images, divided into four categories: landscape, portrait,…

Discussion of human-computer interfaces focuses on the use of graphical and direct manipulation approaches to improve the user interface. Topics discussed include information seeking; computerized search capabilities, including full-text string searches, index searches, and hypertext; Boolean expressions; dynamic or direct manipulation queries;…

The increased availability of digital images is accompanied by a need for solutions to the problems inherent in indexing them for retrieval. Problems in image description and access are discussed, with a perspective on traditional and new solutions. Recent developments in intellectual access to images are surveyed and contrasted with…

Reviews research on how people use mental models of images in information retrieval. Discusses cognitive and social processes that give rise the visual models shaped by indexers and searchers. Examines the representation of objects and shapes in visual mental models and how both content-based and concept-based indexes capture aspects of these…

Computer vision offers a variety of techniques for searching for pictures in large collections of images. Appearance methods compare images based on the overall content of the image using certain criteria. Finding methods concentrate on matching subparts of images, defined in a variety of ways, in hope of finding particular objects. These ideas…

Review of the literature on international computerized indexing systems for visual materials also describes technologies available for reproducing images, highlighting videotex, videodisk, and digital storage. Advances in the ability to interface these technologies with each other and with online retrieval systems are discussed. (76 notes with…

Focuses on access to digital image collections by means of manual and automatic indexing. Contains six sections: (1) Studies of Image Systems and their Use; (2) Approaches to Indexing Images; (3) Image Attributes; (4) Concept-Based Indexing; (5) Content-Based Indexing; and (6) Browsing in Image Retrieval. Contains 105 references. (AEF)

Examines the vocabulary and communication constructs that are used by novices and domain experts to describe objects in an object identification task. Results suggest that indexing and retrieval systems should provide semantic level similarity mechanisms to allow for whole-object as well as part-wise visual analogy. The systems should also provide…

Explores the indirect method of locating for indexing the likely explicit and implicit captions of photographs, using multimodal clues including the specific words used, syntax, surrounding layout of the Web page, and general appearance of the associated image. The MARIE-3 system thus avoids full image processing and full natural-language…

The accelerating rate of data generation and resulting publications are taxing the ability of scientific investigators to stay current with the emerging literature. This problem, acute in science, is not uncommon in other areas. New approaches to managing this explosion of information are needed. While it is only possible to read one paper or…

Presents abstracts of 36 special interest group (SIG) sessions. Highlights include the Chemistry Online Retrieval Experiment; organizing and retrieving images; intelligent information retrieval using natural language processing; interdisciplinarity; libraries as publishers; indexing hypermedia; cognitive aspects of classification; computer-aided…

The IADIS CELDA 2012 Conference intention was to address the main issues concerned with evolving learning processes and supporting pedagogies and applications in the digital age. There had been advances in both cognitive psychology and computing that have affected the educational arena. The convergence of these two disciplines is increasing at a…