Open AccessOcclusion Detection for Video Inpainting Coherence Problem
Author(s) -
Sheshang Degadwala,
Dhairya Vyas,
Arpana Mahajan
Publication year - 2019
Publication title -
international journal of scientific research in computer science, engineering and information technology
Language(s) - English
Resource type - Journals
ISSN - 2456-3307
DOI - 10.32628/cseit195446
Subject(s) - inpainting , computer science , computer vision , artificial intelligence , mistake , video tracking , object (grammar) , coherence (philosophical gambling strategy) , computer graphics (images) , multimedia , image (mathematics) , mathematics , statistics , political science , law
The amazing interest for all inclusive appropriation and utilization of picture and video content our different system has forced the computerized purchaser hardware industry to dispatch a practically endless assortment of electronic gadgets equipped for gaining, preparing, altering and putting away these appealing kinds of substance. A PC vision procedure is proposed to evacuate an undesirable item in a video arrangement for computerized handling. As of late different enhancements have been utilized in video creation. We propose a novel system of video inpainting which applies to both static and free moving camera recordings. The technique can be utilized for object evacuation, mistake covering and foundation reproduction. The proposed approach will decrease the calculation unpredictability and furthermore give outwardly satisfying outcomes.