Multimedia Summarization using Audio Descriptors

ABSTRACT Video summarization is defined as creating a shorter video clip which includes only the important scenes in the original video streams. It has a wider research area since it is more complex to implement. Even by implementing all the serious algorithms, the success levels can vary on the complexity of the video.Currently video summarizing is human-interacted, the person who is dealing with the raw video should pick highlights of each video and join them together to generate a series of highlights. This project tries to address this problem domain by summarizing a video.In this project a novel approach is proposed to multimedia summarization using the audio descriptor. This uses the audio descriptor from a given video, a system will then generate a paragraph of textual information of the video. By summarizing the textual information & accessing the video content relevant to the summarized output, get the summarized video of the desired length. This summarization is simple and flexible, which allows rapid generation of a summary of any desired length.