Search Strategies White Papers
AnnoSearch: Image Auto-Annotation by Search
Overview Although it has been studied for several years by computer vision and machine learning communities, image annotation is still far from practical. This paper presents AnnoSearch, a novel way to annotate images using search and data mining technologies. Leveraging the Web-scale images, the author solves this problem in two-steps: searching for semantically and visually similar images on the Web and mining annotations from them. Firstly, at least one accurate keyword is required to enable text-based search for a set of semantically similar images. Then content-based search is performed on this set to retrieve visually similar images. At last, annotations are mined from the descriptions (titles, URLs and surrounding texts) of these images.
| Publisher | Microsoft | File Format | |
|---|---|---|---|
| Date Published | March 2006 | Downloads | 1 |
| Format | White Papers | ||
| Topics | |||
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