are typically generated manually by human beings, they We present a two-pass image retrieval system in which re-provide compact, important [8], though sometimes biased trieval techniques for text and image documents are combined and incomplete, descriptions of the visual content. Such in a novel app
Image retrieval using resegmentation driven by query rectangles
โ Scribed by L. Cinque; F. De Rosa; F. Lecca; S. Levialdi
- Book ID
- 108151997
- Publisher
- Elsevier Science
- Year
- 2004
- Tongue
- English
- Weight
- 297 KB
- Volume
- 22
- Category
- Article
- ISSN
- 0262-8856
No coin nor oath required. For personal study only.
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