Search Results

Improving Recall of Browsing Sets in Image Retrieval from a Semiotics Perspective

Description: The purpose of dissertation is to utilize connotative messages for enhancing image retrieval and browsing. By adopting semiotics as a theoretical tool, this study explores problems of image retrieval and proposes an image retrieval model. The semiotics approach conceptually demonstrates that: 1) a fundamental reason for the dissonance between retrieved images and user needs is representation of connotative messages, and 2) the image retrieval model which makes use of denotative index terms is able to facilitate users to browse connotatively related images effectively even when the users' needs are potentially expressed in the form of denotative query. Two experiments are performed for verifying the semiotic-based image retrieval model and evaluating the effectiveness of the model. As data sources, 5,199 records are collected from Artefacts Canada: Humanities by Canadian Heritage Information Network, and the candidate terms of connotation and denotation are extracted from Art & Architecture Thesaurus. The first experiment, by applying term association measures, verifies that the connotative messages of an image can be derived from denotative messages of the image. The second experiment reveals that the association thesaurus which is constructed based on the associations between connotation and denotation facilitates assigning connotative terms to image documents. In addition, the result of relevant judgments presents that the association thesaurus improves the relative recall of retrieved image documents as well as the relative recall of browsing sets. This study concludes that the association thesaurus indicating associations between connotation and denotation is able to improve the accessibility of the connotative messages. The results of the study are hoped to contribute to the conceptual knowledge of image retrieval by providing understandings of connotative messages within an image and to the practical design of image retrieval system by proposing an association thesaurus which can supplement the limitations of the current content-based image retrieval systems ...
Date: May 2006
Creator: Yoon, JungWon
Partner: UNT Libraries

Image manipulation and user-supplied index terms.

Description: 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, news, and cityscape. The terms provided by participants were categorized according to models proposed in earlier image studies. Findings of the study suggest that there was not a significant difference in the number of terms supplied in relation to access to the tool, but a large variety in use of the tool was demonstrated by the participants. The study shows that there are differences in the level of meaning of the terms supplied in some of the models. The type of image being viewed was related to the number of zooms and relationships between the type of image and the number of terms supplied as well as their level of meaning in the various models from previous studies exist. The results of this study provide further insight into how people think about images and how the manipulation of those images may affect the terms they assign to describe images. The inclusion of these tools in search and retrieval scenarios may affect the outcome of the process and the more collection managers know about how people interact with images will improve their ability to provide access to the growing amount of pictorial information.
Date: May 2009
Creator: Schultz, Leah
Partner: UNT Libraries

Children's Color Association for Digital Image Retrieval.

Description: In the field of information sciences, attention has been focused on developing mature information retrieval systems that abstract information automatically from the contents of information resources, such as books, images and films. As a subset of information retrieval research, content-based image retrieval systems automatically abstract elementary information from images in terms of colors, shapes, and texture. Color is the most commonly used in similarity measurement for content-based image retrieval systems. Human-computer interface design and image retrieval methods benefit from studies based on the understanding of their potential users. Today's children are exposed to digital technology at a very young age, and they will be the major technology users in five to ten years. This study focuses on children's color perception and color association with a controlled set of digital images. The method of survey research was used to gather data for this exploratory study about children's color association from a children's population, third to sixth graders. An online questionnaire with fifteen images was used to collect quantitative data of children's color selections. Face-to-face interviews investigated the rationale and factors affecting the color choices and children's interpretation of the images. The findings in this study indicate that the color children associated with in the images was the one that took the most space or the biggest part of an image. Another powerful factor in color selection was the vividness or saturation of the color. Colors that stood out the most generally attracted the greatest attention. Preferences of color, character, or subject matter in an image also strongly affected children's color association with images. One of the most unexpected findings was that children would choose a color to replace a color in an image. In general, children saw more things than what were actually represented in the images. However, the children's interpretation ...
Date: August 2003
Creator: Chang, Yun-Ke
Partner: UNT Libraries

In Pursuit of Image: How We Think About Photographs We Seek

Description: The user perspective of image search remains poorly understood. the purpose of this study is to identify and investigate the key issues relevant to a user’s interaction with images and the user’s approach to image search. a deeper understanding of these issues will serve to inform the design of image retrieval systems and in turn better serve the user. Previous research explores areas of information seeking behavior, representation in information science, query formulation, and image retrieval. the theoretical framework for this study includes an articulation of image search scenarios as adapted from Yoon and O’Connor’s taxonomy of image query types, Copeland’s Engineering Design Approach for rigorous qualitative research, and Anderson’s Functional Ontology Construction Model for building robust models of human behavior. a series of semi-structured interviews were conducted with expert-level image users. Interviewees discussed their motivations for image search, types of image searches they pursue, and varied approaches to image search, as well as how they decide that an information need has been met and which factors influence their experience of search. a content analysis revealed themes repeated across responses, including a collection of 23 emergent concepts and 6 emergent categories. a functional analysis revealed further insight into these themes. Results from both analyses may be used as a framework for future exploration of this topic. Implications are discussed and future research directions are indicated. Among possibilities for future research are investigations into collaborative search and ubiquitous image search.
Date: May 2012
Creator: Oyarce, Sara
Partner: UNT Libraries