Abstract
Video retrieval and video mining has become a very popular research field due to the increase of applications like video monitoring, video surveillance, video matching and duplication detection in videos and also due to and hasty raise in the volume of digital video databases. Since it is a vibrant research area, in this research work, an efficient approach to find new objects from video is proposed. This research work is aimed to find out the object from video using Lorentz Information measure and Discrete Wavelet Transform to extract the features of the video frame and applying self organizing maps to recognize new objects in a frame of video sequence. The proposed model of the system is designed and implemented on MATLAB. The proposed system tested with the sample videos and providing promising results. The performance level of the proposed system will be suited for several simple day to day video mining applications and video surveillance systems.
Sign-in/Register to access full text options 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a callDisclaimer: All third-party content on this website/platform is and will remain the property of their respective owners and is provided on "as is" basis without any warranties, express or implied. Use of third-party content does not indicate any affiliation, sponsorship with or endorsement by them. Any references to third-party content is to identify the corresponding services and shall be considered fair use under The CopyrightLaw.
