Educational Video Classification Using Fuzzy Logic Classifier Based on Arabic Closed Captions

Abstract

The process of adding closed-captions to the E-Learning courses offers several benefits to the hard of hearing or deaf people. Closed captioning allows many different populations of viewers to access the contents of videos. Traditionally deaf/hard of hearing users are the population of this service, but captioning also helps non-native language speakers and also viewers with learning disabilities. Closed captions can be useful to the viewers with no hard of hearing such as: improving the comprehension dialogues for non-native speakers, providing the ability to observe videos in sound-aware environments such as libraries and offices, and recognizing the technical terminologies and brand names behind noise environments. In this paper, a video classification technique for Arabic closed captions to create semantic categories using Fuzzy logic is introduced. This classification is important to apply indexing and searching as meta-data which makes the involved videos text-searchable. This contribution will be focused to help the layer of society which has a defect hearing problem but not deaf, by integrating them with the normal students in the regular schools and keep them in a good level of education without the need to join them to special needs schools.