In this paper we propose to use lexical semantic networks to extend the state-of-the-art
object recognition techniques. We use the semantics of image labels to integrate prior …

Storage and retrieval of multimedia has become a requirement for many contemporary
information systems. These systems need to provide browsing, querying, navigation, and …

In this survey, we argue that using structured vocabularies is capital to the success of image
annotation. We analyze literature on image annotation uses and user needs, and we stress …

The discovery of frequent sequences in temporal databases is an important data mining
problem. Most current work assumes that the database is static, and a database update …

Research on multimedia information retrieval (MIR) has recently witnessed a booming
interest. A prominent feature of this research trend is its simultaneous but independent …

Mobile learning powered by artificial intelligence (AI) is a promising vision for transforming
education by introducing tutoring systems that can personalize learning. It is being …

Finding useful information from large multimodal document collections such as the WWW
without encountering numerous false positives poses a challenge to multimedia information …

Advanced Multimedia Oriented Retrieval Engine (AMORE)[2] is a World-Wide Web image
retrieval engine integrating several techniques to facilitate effective retrieval of images from …

Describing visual image contents by semantic concepts is an effective and straightforward
way to facilitate various high level applications. Inferring semantic concepts from low-level …

The paper discusses Aria, an interface agent designed to assist users by preactively looking
for opportunities for image annotation and retrieval. While it does not completely automate …