Multimodal information retrieval is a research problem of great interest in all domains, due to
the huge collections of multimedia data available in different contexts like text, image, audio …

This article presents a framework for speedy video matching and retrieval through detection
and measurement of visual similarity. The framework's efficiency stems from its power to …

Video object retrieval is a promising research direction, developing in the recent years, and
the current video object retrieval strategies are used for visualizing, digitizing, modeling, and …

The challenge of abstract trademark image retrieval as a test of machine vision algorithms
has attracted considerable research interest in the past decade. Current operational …

The quantity of digital videos is huge, due to technological advances in video capture,
storage and compression. However, the usefulness of these enormous volumes is limited by …

This paper presents a fast and effective technique for videos' visual similarity detection and
measurement using compact fixed-length signatures. The proposed technique facilitates for …

The increasing use of multimedia streams nowadays necessitates the development of
efficient and effective methodologies and systems for manipulating databases storing these …

Generally, a user uses briefly summarized video data and text information to search video
contents. To provide fast and accurate search tool for video contents in the process of …

Fusing and ranking multimodal information remains always a challenging task. A robust
decision-level fusion method should not only be dynamically adaptive for assigning weights …

Abstract (for dissemination): Ontology evolution is generally defined as the timely adaptation
of an ontology to changing requirements and the consistent propagation of changes to …