A Novel Automatic Shot Boundary Detection Algorithm Robust to Illumination and Motion Effect
Files
Date
2019
Authors
Journal Title
Journal ISSN
Volume Title
Publisher
Department of Computer Science & Engineering, NITS
Abstract
Apparently, the summarizing, classifying and indexing valuable information from the massive amount of videos is very inefficient and time consuming through manual procedure. In order to make this process effective, it is necessary to segment a video into meaningful shots and locate the boundaries between the shots. Shot is a collection of continuous frames having similar content and visual feature and when the continuity in the similarity of the frames breaks it is termed as transition from one shot to another shot which creates a boundary between the shots. But, the performance of shot boundary detection approaches are yet to be addressed for the videos having sudden flash light and Object/Camera Motion efficiently. In this thesis, a novel approach for abrupt transition detection is proposed which can able to withstand under certain illumination and motion effect. The proposed algorithm can be roughly divided into two stages: firstly, the adaptive Wiener filter is applied to the lightness component of the frame to retain some important information on both frequencies and LBP-HF is extracted to reduce the illumination effect. From the experimentation, it is also confirmed that the motion effect is also reduced in the first stage. Secondly, Canny edge difference is used to further remove the illumination and motion effect which is not handled in the first stage. TRECVid 2001 and 2007 datasets are applied to analyze and validate our proposed algorithm. Experimental results manifest that the proposed system outperform the state-of-art shot boundary detection techniques.