Video annotation tools are often compared in the literature, however, most reviews mix
unstructured, semi-structured, and the very few structured annotation software. This paper is …

In this study, a cotton disease diagnosis method that uses a combined algorithm of case-
based reasoning (CBR) and fuzzy logic was designed and implemented. It focuses on the …

The constantly increasing popularity and ubiquity of videos urges efficient automated
mechanisms for processing video contents, which is a big challenge due to the huge gap …

In this paper we describe our approach for the ImageCLEFlifelog Moment Retrieval task. A
total of five runs were submitted, which used visual features, textual features or combination …

Through the success of deep convolutional neural networks (CNN) for image classification
and semantic concepts detection, the multimedia retrieval community provides interesting …

Video annotation has gained attention because of the rapid development of video
information and wide usage of video analysis in all directions. With the capacity of depicting …

Objectives: The exponential growth of web has increased the volume of the documents.
Data does not carry any meaning, but it should be interpreted efficiently for execution of …

In this paper, we describe our participation in the Image-CLEF 2015 Scalable Concept
Image Annotation task. In this participation, we display our approach for an automatic image …

In this paper, we describe our participation in the Image-CLEF 2015 Scalable Concept
Image Annotation task. In this participation, we display our approach for an automatic image …

Fuzzy Reasoning for Multimedia Semantic Interpretation - Fuzzy Ontology Based Model for
Video Indexing Page 1 Fuzzy Reasoning for Multimedia Semantic Interpretation Fuzzy Ontology …