This study proposed an algorithm to stabilize jittery videos directly without the need to estimate camera motion. A stable output video will be attained without the effect of jittery that caused by shaking the handheld camera during video recording. Firstly, salient points from each frame from the input video is identified and processed followed by optimizing and stabilize the video. Optimization includes the quality of the video stabilization and less unallied area after the process of stabilization. The output of using such method showed good result in terms of stabilization and discarded distortion from the output videos recorded in different circumstances. Initial results showed that the proposed technique is suitable to be used and provide great deal of stabilization.
Physical Cell Identity (PCI) assignments and conflicts are still posing huge challenges in the LTE-femtocell based network. This challenges stem from the problem of only 504 unique PCls are available in the LTE network. In this work we propose an approach to solve this problem with minimum needs of human intervention, besides preserving the network resources by discarding the need of periodically updating the network neighbor list and also discarding the need to resolve searching conflict and healing.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.