An Effective Method of Video Segmentation and Summarization for Surveillance

Abstract

In today's world, video surveillance has become an integral part of investigation system. Video Segmentation and Summarization plays a crucial role in the field of Video analysis. The paper presents an approach that helps in extracting the movable segments from a large stable video.The system takes the video as input and extracts the movements from the video and identifies the time-intervals. Initially frames (images) are extracted from the video and compared consecutively. If some movements are detected then the movement signatures (start timeend time) are stored. Based on signaturesthe segmented and summarized video is generated. The result shows substantial improvement in video summarization process.

Improving Video Streams Summarization Using Synthetic Noisy Video Data

“…For real-time, generally video summarization approaches utilized motion object detection and extraction as essential process to extract motion information from video sequence [10]- [12]. Many of summarization approaches generated a video synopsis or summary for a single video stream such as [13]- [15]. Summarization approaches for single camera do not give generalization to multiple cameras and they do not take into account the relationship between the different cameras.…”