Review on Video Summarization Techniques for Surveillance Video Using Keyframe Extraction
Keywords:
Key frame extraction, Faber-Shauder wavelet, Haar Wavelet, Scale Invariant Feature Transform.Abstract
Nowadays Video data creation and its storage play a important role in every industry. We require it in security,
entertainment industries, advertising industries and more other industries. In security field data is collected using CCTV
camera and stored at data centers of organization. Same video content is referred to check if someone is violating the
organizations security. In advertising industry product details are conveyed using seconds of video. If video length is
more, then cost of advertisement creation is also more. Video summarization is also a technique in which your long
period activity is represented using 5-10 minutes of video. Compare to verbal communication video representation is best
way of communication and its trustworthy way to communicate your message.
By considering the importance of video data there is huge scope of improvement in video data processing. Video
processing techniques can be used to remove redundant frames from video so that it will solve the problem of data
storage. Video without redundant frames is the best input for information retrieval operation. As less time will require
for retrieval of information compared to original video. So main object is to develop a system to compress the video i.e.
to remove redundant data from video. Also will provide the information retrieval technique in which compressed video is
taken as input and image with require object is taken as query so that we will reach to that relevant video content in less
time.
