This paper introduces an intelligent multimedia information system, which exploits machine
learning and database technologies. The system extracts semantic contents of videos …

Fusing multimodal information in multimedia data usually improves the retrieval
performance. One of the major issues in multimodal fusion is how to determine the best …

Object classification from video frames has become more challenging in the context of
Wireless Multimedia Sensor Networks (WMSNs). This is mainly due to the fact that these …

Linear combination is a popular approach in information fusion due to its simplicity.
However, it suffers from the performance upper-bound of linearity and dependency on the …

Despite the extensive number of studies for multimodal information fusion, the issue of
determining the optimal modalities has not been adequately addressed yet. In this study, a …

The authors propose an online image search engine based on local image keypoint
matching with GPU support. State-of-the-art models are based on bag-of-visual-words …

Managing a large volume of multimedia data, which contain various modalities (visual,
audio, and text), reveals the need for a specialized multimedia database system (MMDS) to …

An effective retrieval of multimedia data is based on its semantic content. In order to extract
the semantic content, the nature of multimedia data should be analyzed carefully and the …