The explosive growth and widespread accessibility of community-contributed media content
on the Internet have led to a surge of research activity in multimedia search. Approaches that …

Along with the explosive growth of multimedia data, automatic multimedia tagging has
attracted great interest of various research communities, such as computer vision …

Video indexing and retrieval have a wide spectrum of promising applications, motivating the
interest of researchers worldwide. This paper offers a tutorial and an overview of the …

Semantic analysis of multimodal video aims to index segments of interest at a conceptual
level. In reaching this goal, it requires an analysis of several information streams. At some …

We introduce the challenge problem for generic video indexing to gain insight in
intermediate steps that affect performance of multimedia analysis methods, while at the …

In this paper, we review 300 references on video retrieval, indicating when text-only
solutions are unsatisfactory and showing the promising alternatives which are in majority …

Learning-based video annotation is a promising approach to facilitating video retrieval and it
can avoid the intensive labor costs of pure manual annotation. But it frequently encounters …

This paper introduces a discriminative model for the retrieval of images from text queries.
Our approach formalizes the retrieval task as a ranking problem, and introduces a learning …

A combination of query-by-visual-example (QBVE) and semantic retrieval (SR), denoted as
query-by-semantic-example (QBSE), is proposed. Images are labeled with respect to a …

The last decade has seen innovations that make video recording, manipulation, storage,
and sharing easier than ever before, thus impacting many areas of life. New video retrieval …