Semantic Video Annotation in E-learning Framework

Online Multi-Label Active Learning for Large-Scale Multimedia Annotation

Existing video search engines have not taken the advantages of video content analysis and semantic understanding. Video search in academia uses semantic annotation to approach content-based indexing. We argue this is a promising direction to enable real content-based video search. However, due to the complexity of both video data and semantic concepts, existing techniques on automatic video ann...

The Effects of Multimedia Annotations on Iranian EFL Learners’ L2 Vocabulary Learning

In our modern technological world, Computer-Assisted Language learning (CALL) is a new realm towards learning a language in general, and learning L2 vocabulary in particular. It is assumed that the use of multimedia annotations promotes language learners’ vocabulary acquisition. Therefore, this study set out to investigate the effects of different multimedia annotations (still picture annotatio...

Semantic Annotation in e-Learning Systems based on Evolving Ontologies

In this paper we discuss an approach for annotating e-Learning resources based on skill/performance and learning-domain ontologies and we propose a framework for managing ontology changes and their effects on the semantic annotation of resources.

A framework for automatic sports video annotation with anomaly detection and transfer learning

This paper describes a system that can automatically annotate videos and illustrates its application to tennis games. A unified apparatus is proposed, cast in a Bayesian reasoning framework. This is supported by a cognitive memory architecture that allows the system to store raw video data at the lowest cognitive level and its semantic annotation with increasing levels of abstraction up to dete...

Semantic-Based Image Retrial in the VQ Compressed Domain using Image Annotation Statistical Models