Call For Paper Volume:4 Issue:6 Jun'2017

Synchronous Content Oriented Video Retrieval

Publication Date : 10/07/2015



Author(s) :

Bhagwant Balasaheb Handge , Prof. N.R.Wankhade.


Conference Name :
4th International Conference on Recent Trends in Engineering & Technology(ICRTET-2015) July 2-4,2015 Organized by SNJB's KBJ College of Engineering,Chandwad,Nashik,Maharashtra,India



Abstract :

In the last decade e-lecturing has become more and more popular .Conference amount of video data in the World Wide Web (WWW) is growing rapidly. Therefore, video retrieval on the World Wide Web or a classroom a more efficient method for Video files are urgently needed. This paper presents an automated method great video indexing and searching video Conference video files. First, use the automatic segmentation and video keyframe detection, to provide a visual cues Video content for navigation. Subsequently, application metadata extract teletext OCR (OCR) for track keyframes presentation and automatic speech recognition (ASR). In the OCR and ASR Transcripts and type detection line of text on the slide using keywords extracted from these two videos and segment level Keyword extraction video browsing and content-based search. The performance and effectiveness of the proposed Indexing function is tested by evaluating Keyword extraction video browsing and content-based search.


No. of Downloads :

24


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