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Book ChapterDOI

A Survey of Content-Based Image Retrieval Systems

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TLDR
In this chapter, some technical aspects of current content-based image retrieval systems are surveyed.
Abstract
In this chapter we survey some technical aspects of current content-based image retrieval systems.

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Book ChapterDOI

Block-Based methods for image retrieval using local binary patterns

TL;DR: Two block-based texture methods are proposed for content-based image retrieval (CBIR) that use the Local Binary Pattern (LBP) texture feature as the source of image description and show the clear superiority of the new algorithms against their competitors.
Journal ArticleDOI

Region-based image retrieval using integrated color, shape, and location index

TL;DR: Results obtained show that retrieval effectiveness increases in non-cascaded region-based querying by combined index, and also based on a combined color shape location index.
Journal ArticleDOI

Interactive access to large image collections using similarity-based visualization

TL;DR: This paper presents an optimal visualization scheme, supporting users in interacting with large image collections, and shows that the proposed scheme significantly improves performance for a given task compared to the 2D grid-based visualizations commonly used in content-based image retrieval.
Book ChapterDOI

From Where to What: Metadata Sharing for Digital Photographs with Geographic Coordinates

TL;DR: The results show that the LOCALE system performs search tasks with surprising accuracy, even when searching for specific landmarks.
Journal ArticleDOI

Building a web-scale image similarity search system

TL;DR: The experience in building an experimental similarity search system on a test collection of more than 50 million images and the performance of this technology and its evolvement as the data volume grows by three orders of magnitude is studied.
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