This paper presents a cross-modal approach for extracting semantic relationships between
concepts using tagged images. In the proposed method, we first project both text and visual …

This paper proposes a new image-semantic measure, named” Semantico-Visual
Relatedness of Concepts”(SVRC), to estimate the semantic similarity between concepts. The …

Relatedness measurement between multimedia such as images and videos plays an
important role in computer vision, which is a base for many multimedia related applications …

Given an imagebase with tagged images, four types of tasks can be executed, ie, content-
based image retrieval, image annotation, text-based image retrieval, and query expansion …

This paper proposes the Flickr Distance (FD) to measure the visual correlation between
concepts. For each concept, a collection of related images are obtained from the Flickr …

Measures of similarity have traditionally focused on computing the semantic relatedness
between pairs of words and texts. In this paper, we construct an evaluation framework to …

The development of technology generates huge amounts of non-textual information, such as
images. An efficient image annotation and retrieval system is highly desired. Clustering …

In this work we propose Context-based Image Similarity, a scheme for discovering and
evaluating image similarity in terms of the associated groups of concepts. Several semantic …

The beneficial, complementary nature of visual and textual information to convey information
is widely known, for example, in entertainment, news, advertisements, science, or education …

Traditional approaches to semantic relatedness are often restricted to text-based methods,
which typically disregard other multimodal knowledge sources. In this paper, we propose a …