ERA

Download the full-sized PDF of Image cultural analytics through feature-based image exploration and extractionDownload the full-sized PDF

Analytics

Share

Permanent link (DOI): https://doi.org/10.7939/R3N58CR79

Download

Export to: EndNote  |  Zotero  |  Mendeley

Communities

This file is in the following communities:

Graduate Studies and Research, Faculty of

Collections

This file is in the following collections:

Theses and Dissertations

Image cultural analytics through feature-based image exploration and extraction Open Access

Descriptions

Other title
Subject/Keyword
Image processing and retrieval
IMDB
Similarity measure
Image cultural analytics
Visual faceted search
Video game
Flickr
Type of item
Thesis
Degree grantor
University of Alberta
Author or creator
Naeimi, Parisa
Supervisor and department
Stroulia, Eleni (Computing Science)
Examining committee member and department
Wong, Ken (Computing Science)
Rockwell, Geoffrey (Humanities Computing and Philosophy)
Department
Department of Computing Science
Specialization

Date accepted
2011-09-28T21:22:24Z
Graduation date
2011-11
Degree
Master of Science
Degree level
Master's
Abstract
Today, we are witnessing the proliferation of digital media, whether through mass digitization efforts, or through the publishing activities of the multitude of social-platform users. Much of this data is not the product of ``formal work'', but rather the product of artistic and social activity and the nascent field of ``cultural data mining'' focuses on methods for analyzing this data to extract and visualize interesting patterns that give us insights of how our culture evolves. This field adopts and combines methods from image processing, data mining, probability and statistics, and visualization to extract and represent information about culture. In this research, we report on a image feature-based approach to the cultural-analytics problem, whereby we analyze images in terms of a set of low-level and mid-level features, \ie colors, textures, and shapes, and examine the correlations of these features with high-level semantic information of cultural significance. In our current implementation, using a faceted search interface, a combination of one or more visual features or tags can be used to perform image- and/or tag-based queries on an image repository. Our results on some sample data sets, obtained from publicly available sources, show that aggregated image features can be used for inferring higher-level cultural information.
Language
English
DOI
doi:10.7939/R3N58CR79
Rights
This thesis is made available by the University of Alberta Libraries with permission of the copyright owner solely for the purpose of private, scholarly or scientific research. This thesis, or any portion thereof, may not otherwise be copied or reproduced without the written consent of the copyright owner, except to the extent permitted by Canadian copyright law.
Citation for previous publication

File Details

Date Uploaded
Date Modified
2014-05-01T02:03:26.959+00:00
Audit Status
Audits have not yet been run on this file.
Characterization
File format: pdf (Portable Document Format)
Mime type: application/pdf
File size: 12289856
Last modified: 2016:08:04 02:39:32-06:00
Filename: ParisaNaeimi.pdf
Original checksum: 86b0ac7734edbc78e8244fd126a2d870
Well formed: true
Valid: true
Page count: 73
Activity of users you follow
User Activity Date