Analysis of Lecture Videos Retrieval: A Content Based Approach

Abstract: Technology is very fast developed in recent year. Students are interested in fast learning, for that they prefer e-learning technology for study. Numbers of videos are available on internet on single concept. In some cases output videos are useful to user or related with users query, but some videos are not related with users query, to avoid such a type of searching use content based video retrieval system. This system consist text and speech based video retrieval and video search system. First step of content based video retrieval system is segmentation and next is key frame detection. After that extract textual data from each key frame by applying OCR(optical Character Recognition) technology also apply ASR(Automatic Speech Recognition) technology on lecture audio track , the both technology give output in form of text data. These text data is useful for content based video retrieval.

Keywords: Segmentation, OCR, ASR, Indexing, Feature Extraction.