Inspired by the effectiveness of global priors for 2D saliency analysis, this paper aims to
explore those particular to RGB-D data. To this end, we propose two priors, which are the …

Search on the web, specifically fetching of the relevant content, has been paid attention to
since the advent of the web and particularly in recent years due to the tremendous growth in …

This experimental study used a checklist to evaluate the performance of seven search
engines consisting of four Image General Search Engines (IGSEs)(namely, Google, Yahoo …

This paper investigates the information retrieval effectiveness of major image search
engines based on various query topics. Initially, major image search engines, namely …

The semantic web contains a large amount of data in the form of knowledge graphs (KGs).
KGs, made in Resource Description Framework (RDF) data model, provide a way to …

This paper investigates the retrieval performance and necessity of major meta-image search
engines (MISEs). Our study is realized in two phases. In the first phase, major image search …

Image search engines tend to return a large number of images which the engines consider
to be relevant, and such pool of results generally is very large and may be regarded to be …

The presence of increased memory and computational power in imaging sensor networks is
attracting researchers to exploit existing image processing algorithms on distributed memory …

The presence of increased memory and computational power in imaging sensor networks
attracts researchers to exploit image processing algorithms on distributed memory and …

In image retrieval the most commonly used performance measures are precision and recall.
However, to determine the number of relevant images in an infinite database presents a …