Summary

International Technical Conference on Circuits/Systems, Computers and Communications

2016

Session Number:P2

Session:

Number:P2-16

Video Analysis Algorithm based on Saliency Region Detection from Selected Key-frames

Min Soo Ko,  Hyok Song ,  

pp.971-974

Publication Date:2016/7/10

Online ISSN:2188-5079

DOI:10.34385/proc.61.P2-16

PDF download (1.2MB)

Summary:
In this paper, more effective algorithms to extract content-aware information from the video is proposed.In the past few years, the amount of the internet video has grown rapidly, and it has become a major market. Reliable extraction of metadata from the video is one major step toward efficient video management. Extraction of reliable and useful metadata from a video involves video understanding and content analysis, and it is always a tall order in terms of both algorithms and system design. In the proposed algorithm, we can extract the four kinds of information such as image category, camera motion, saliency region and keyframe from a user's video.