Content Based Image Retrieval (CBIR) is a process in which for a given query image, similar
images will be retrieved from a large image database based on their content similarity. The …

In this work, we will see a scalable, integrated text-based image retrieval system (search
engine) and evaluate its effectiveness. The search engine crawls and indexes all the pages …

This paper, suggested a novel method for texture feature descriptor using the row, column
and diagonally aligned pixel intensity difference for efficient image retrieval based on image …

As a result of the new communication technologies and the massive use of Internet in the
society, the amount of audio-visual information available in digital format is increasing …

Multimedia mining primarily involves information analysis and retrieval based on implicit
knowledge. The ever increasing digital image databases on the internet has created a need …

This chapter will focus on the concept of Content-based image retrieval. Searching of an
image or video database based on text based description is a manual labor intensive …

Content-Based Image Retrieval gives the path to retrieve the needed information based on
the image content. Here, we propose a novel image indexing and retrieval algorithm using …

This paper proposes, the retrieving satellite cloud images from satellite cloud database
images using the texture features. The traditional image retrieval technique is inefficient in …

This research introduces an image retrieval system which is, in different ways, inspired by
the human vision system. The main problems with existing machine vision systems and …

The growing importance of traditional text-based image retrieval is due to its popularity
through web image search engines. Google, Yahoo, Bing etc. are some of search engines …