e-ISSN : 0975-4024 p-ISSN : 2319-8613   
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ABSTRACT

ISSN: 0975-4024

Title : Video Retrieval System-An Approach based on Image Comparison
Authors : Tarun Sharma, Chinta Rahul, Shaik Shahul, M. Venkatesan
Keywords : Complexity, Efficiency, Techniques, Video Search, Frames, Image Comparison
Issue Date : Feb-Mar 2016
Abstract :
Currently people in the world are using many multimedia devices. The best application of the multimedia devices is to watch the videos. The videos are shared on the multimedia device by using various social networks or through the internet. The video, which is shared, is normally a short part of the main video. Most of the time it happens that the video name or any other description is not available. So, how to find the complete video? Our paper will be very helpful for this. Our paper will compare that video in the database and return the complete video along with its description. The videos are the sequence of frames or say images. In this paper, we are using the image comparison technique to match and find the videos. In future we can extend this paper to the Video Surveillance field, as we know these days’ security is an important aspect of our life. So adding some artificial intelligent in this we can extend our work in security area also. Using this, we can detect the unwanted activity, unauthorized entry and many more.
Page(s) : 357-363
ISSN : 0975-4024
Source : Vol. 8, No.1