Open AccessVideo Summarization for Copyright Protection
Author(s) -
Mas Mustafa,
Suhad A. Ali,
Majid Jabbar Jawad
Publication year - 2020
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/1530/1/012095
Subject(s) - automatic summarization , computer science , key frame , key (lock) , thresholding , histogram , artificial intelligence , set (abstract data type) , computer vision , information retrieval , video compression picture types , video processing , video tracking , frame (networking) , image (mathematics) , computer security , computer network , programming language
Nowadays, a summarization of videos for copyright application is an interested research area in computer vision. Key frames extraction is crucial phase in video summarization. This work proposed a method for key frames extraction. The method consists of two operations for covering the content of the whole video sequence. Firstly, a set of candidates key frames are extracted based on adaptive thresholding of difference of histogram of adjacent frames of video data. Secondly, the extraction of a final key frames is done depending on computing Euclidian distance between two adjacent frames in candidates key frames set. The proposed method was tested with a set of standard and online television videos. The experimental results show the efficiency of the proposed system.