Nov 30, 2006 · In this paper, a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems is introduced.
A fuzzy relevance feedback approach is proposed which enables the user to make a fuzzy judgement and integrates the user's fuzzy interpretation of visual ...
In this paper, a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems is introduced.
Nov 30, 2006 · Content-based image retrieval (CBIR) is a process of retrieving a set of desired images from an image collection on the basis of visual contents ...
Abstract: In this paper, a new notion called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems is introduced.
It integrates the user's fuzzy interpretation of visual content into the notion of relevance feedback. An efficient learning approach is proposed using a fuzzy ...
The performance of a Content-Based Image Retrieval System (CBIR) depends on (a) the system's adaptability to the user's information needs, which permits ...
Missing: perceptual | Show results with:perceptual
This paper presents a new framework called fuzzy relevance feedback in interactive content-based image retrieval (CBIR) systems based on soft-decision.
Oct 22, 2024 · In this study we make use of fuzzy logic to improve CBIR by allowing users to express their requirements in words, the natural way of human ...
Sep 1, 2015 · Content-based image retrieval (CBIR), also known as query by image content (QBIC) is a method to search similar images from a repository against ...