- Abstract:
-
The objective of this work is to automatically generate a large number of images for a specified object class. A multimodal approach employing both text, metadata, and visual features is used to gather many high-quality images from the Web. Candidate images are obtained by a text-based Web search querying on the object identifier (e.g., the word penguin). The Webpages and the images they contain are downloaded. The task is then to remove irrelevant images and rerank the remainder. First, the ...
Expand abstract - Publication status:
- Published
- Publisher copy:
- 10.1109/tpami.2010.133
-
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- Journal:
- IEEE transactions on pattern analysis and machine intelligence
- Volume:
- 33
- Issue:
- 4
- Pages:
- 754-766
- Publication date:
- 2011-04-05
- DOI:
- EISSN:
-
1939-3539
- ISSN:
-
0162-8828
- URN:
-
uuid:b6dba853-708d-43c6-8aba-65b3426edad7
- Source identifiers:
-
124516
- Local pid:
- pubs:124516
- Language:
- English
- Keywords:
- Copyright date:
- 2011
Journal article
Harvesting image databases from the Web.
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