Multimedia Summarization using HITS Algorithm

ABSTRACT Video summarization is described as creating a abstracted video clip which includes only the important scenes in the original video streams. Currently video summarizing is human-interacted, the person who is dealing with the raw video should select the highlights of each video and join them to create a series of highlights. A novel approach is proposed to video summarization using the audio descriptor. This uses the audio descriptor or text information from a provided video, a system will then generate a paragraph of textual information of the video. By summarizing the textual information & accessing the video content related to the summarized output and get the summarized video of the desired length. This summarization is simple and flexible, which owns rapid generation of a summary of any desired length.