EFFICIENT CONTENT BASED VIDEO RETRIEV AL USING ASR AND OCR TECHNIQUES

E - lecturing has become more and more popular, in the last decade. On the World Wide Web (WWW) is growing rapidly, the amount of lecture video data. For video retrieval in WWW or within large lecture video archives is urgently needed, a more efficient method. For automated video indexing and video search in large lecture video archives, this paper presents an approach. To offer a visual guideline for the video content navigation, w e apply automatic video segmentation and key - frame detection. By applying video Optical Character Recognition (OCR) technology on key - frames and Automatic Speech Recognition (ASR) on lecture audio tracks, we extract textual metadata. For keyword extraction , by which both video - and segment - level keywords are extracted for content - based video browsing and search, the OCR and ASR transcript as well as detected slide text line types are adopted. By evaluation, the performance and the effectiveness of proposed indexing functionalities are proven.