In this paper, we propose a high-dimensional indexing method (KRA+-Blocks) as an extension of the region approximation approach to the kernel space. KRA+-Blocks ...
In CBIR applications, the idea of image indexing consists in extracting descriptors from images, then mapping them into a high-dimensional space. The distance ...
So the retrieval system based on the images is a method in which it permits the user to peruse, inquire and restore the images. Thus the content based ...
In this paper, we propose a high-dimensional indexing method (KRA+-Blocks) as an extension of the region approximation approach to the kernel space. KRA+-Blocks ...
This work proposes a new indexing method, named HVA-Index, for similarity search in high-dimensional vector space, based on Vector Approximation and Hash ...
Sep 29, 2008 · The RAЧ-Blocks outperforms both RA-Blocks and. VA-File in large image databases even with a very high dimensionality. Comparison results between ...
High-dimensional indexing methods have been proved quite useful for response time improvement. Based on Euclidian distance, many of them have been proposed ...
The research introduces a novel high-dimensional indexing method known as KRA+-Blocks, specifically designed to enhance content-based retrieval in extensive ...
We introduce a method for fast approximate similarity search in large image databases with our kernel-based similarity metric. We evaluate our algorithm on ...
An efficient indexing method for content-based image retrieval
www.researchgate.net › ... › Retrieval
Oct 22, 2024 · This paper presents and evaluates differential latent semantic indexing method for content based image retrieval by constructing perceptual ...