• Pooja Dnyaneshwar Patil
• Priyanka Uttam Kharjul
• Manali Chandrakant Gholap
• Sonali Suresh Dawange

Now a day’s e-lecturing has become more popular on the World Wide Web (WWW) the use of lecture video data is increase rapidly. So, there is need of efficient method for video retrieval in WWW. In our proposed system we are presenting technique for automated video indexing and video search in large videos. First of all, we automatically segment the video and key frame detection for the video. As well as, we apply video Optical Character Recognition (OCR) technology on key-frames and Automatic Speech Recognition (ASR) on lecture audio tracks for text extraction and audio recognition respectively. for content-based video searching by using both video and segment level keywords extracted, after successful completion it is prove that proposed system performance is effective.

Lecture videos, automatic video segmentation, content-based video search.

"Clustering and Retrieval of Video Using Speech & Text Information", International Journal of Emerging Technologies and Innovative Research (www.jetir.org), ISSN:2349-5162, Vol.2, Issue 4, page no.908-910, April-2015, Available :http://www.jetir.org/papers/JETIR1504010.pdf

"Clustering and Retrieval of Video Using Speech & Text Information", International Journal of Emerging Technologies and Innovative Research (www.jetir.org | UGC and issn Approved), ISSN:2349-5162, Vol.2, Issue 4, page no. pp908-910, April-2015, Available at : http://www.jetir.org/papers/JETIR1504010.pdf