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This research focuses on trademark (TM) logo image retrieval systems used in the cyber marketplaces to identify similar TM logo images online automatically and ...
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Content-based medical image retrieval and intelligent interactive visual browser for medical education, research and care.
With intelligent content-based search, the iSearch-P2P system supports scalability and avoids indexing and query flooding problems of most existing P2P systems.
Aug 13, 2021 · The current project aims to address this gap in medical imaging consumption by developing a content-based image retrieval (CBIR) system, which ...
The use of content-based image retrieval (CBIR) systems allows for the automatic indexing, searching, retrieval, and exploration of picture datasets. Important ...
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Abstract. This paper deals with the challenge of extending classical image retrieval by including visual rules. The visual rules are extracted automatically ...
"Content-based" means that the search analyzes the contents of the image rather than the metadata such as keywords, tags, or descriptions associated with the ...
Sep 6, 2021 · This paper presents a new CBIR model using Adadelta optimized residual network, image retrieval against query images.
There are several techniques based on neural networks for content-based image retrieval. Adaptive learning capability of neural networks is the primary ...
Mar 18, 2024 · Content-Based Image Retrieval (CBIR) is a way of retrieving images from a database. In CBIR, a user specifies a query image and gets the images in the database ...