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| Visual information retrieval: advances, challenges and opportunities | |
| Audience: | Adults |
| Description: | This talk presents an overview of Visual information retrieval (VIR), an active and vibrant research area, which attempts at providing means for organizing, indexing, annotating, and retrieving visual information (images and videos) from large, unstructured repositories. It gives special emphasis to the process of searching and retrieving images using a visual query, usually known as Content-Based Image Retrieval (CBIR). This field of research has experienced significant scientific and technological advances during the past 25 years, which have led to today's commercial solutions capable of being presented with an image and answering questions such as: What is this?, Where can I purchase it?, Who painted this?, or Can you find me more images like this? |
| Subject Areas: |
Computer Science Engineering Information Science Science Technology |
| Keywords: |
artificial intelligence image search and retrieval information retrieval machine learning mobile apps |
| Duration: | 2-3 hours |
| Fee: | Expenses Only |
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