A Research on Multi-View Video Summarization Techniques
M.Raja Suguna1, A.Kalaivani2

1M.Raja Suguna, Assistant Professor, Department of CSE, Saveetha School Of Engineering, Tamil Nadu, India.
2A.Kalaivani, Associate Professor, Department of CSE, Saveetha School Of Engineering, Tamil Nadu, India.
Manuscript received on September 23, 2019. | Revised Manuscript received on October 15, 2019. | Manuscript published on October 30, 2019. | PP: 6837-6846 | Volume-9 Issue-1, October 2019 | Retrieval Number: A2985109119/2019©BEIESP | DOI: 10.35940/ijeat.A2985.109119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)

Abstract: Video Surveillance System uses video cameras to capture images and videos that can be compressed, stored and send to place with the limited set of monitors .Now a Days all the public places such as bank, educational institutions, Offices, Hospitals are equipped with multiple surveillance cameras having overlapping field of view for security and environment monitoring purposes. A Video Summarization is a technique to generate the summary of entire Video Content either by still images or through video skim. The summarized video length should be less than the original video length and it should covers maximum information from the original video. Video summarization studies concentrating on monocular videos cannot be applied directly to multiple-view videos due to redundancy in multiple views. Generating Summary for Surveillance videos is more challenging because, videos Captured by surveillance cameras is long, contains uninteresting events, same scene recorded in different views leading to inter-view dependencies and variation in illuminations. In this paper, we present a survey on the research work carried on video summarization techniques for videos captured through multiple views. The summarized video generated can be used for the analysis of post-accident scenarios, identifying suspicious events, theft in public which supports Crime department for the investigation purposes.
Keywords: Video Summarization, Multi-View Videos, Still Images, Video Skimming.