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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Rahurkar, M. Tsai, S.-F. Dagli, C. Huang, T.S. |
| Copyright Year | 1963 |
| Abstract | Image is a powerful medium for expressing one's ideas and rightly confirms the adage, “One picture is worth a thousand words.” In this work, we explore the application of world knowledge in the form of Wikipedia to achieve this objective-literally. In the first part, we disambiguate and rank semantic concepts associated with ambiguous keywords by exploiting link structure of articles in Wikipedia. In the second part, we explore an image representation in terms of keywords which reflect the semantic content of an image. Our approach is inspired by the desire to augment low-level image representation with massive amounts of world knowledge, to facilitate computer vision tasks like image retrieval based on this information. We represent an image as a weighted mixture of a predetermined set of concrete concepts whose definition has been agreed upon by a wide variety of audience. To achieve this objective, we use concepts defined by Wikipedia articles, e.g., sky, building, or automobile. An important advantage of our approach is availability of vast amounts of highly organized human knowledge in Wikipedia. Wikipedia evolves rapidly steadily increasing its breadth and depth over time. |
| Sponsorship | IEEE Publication |
| Starting Page | 1509 |
| Ending Page | 1525 |
| Page Count | 17 |
| File Size | 2122519 |
| File Format | |
| ISSN | 00189219 |
| Volume Number | 98 |
| Issue Number | 8 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2010-08-01 |
| Publisher Place | U.S.A. |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Wikipedia Image representation Image retrieval Humans Encyclopedias Computer vision Information retrieval Concrete Automobiles Visual system Concepts image understanding |
| Content Type | Text |
| Resource Type | Article |
| Subject | Computer Science Electrical and Electronic Engineering |
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