Robust Video Content Authentication using Video Binary Pattern and Extreme Learning Machine
Journal Title: International Journal of Advanced Computer Science & Applications - Year 2019, Vol 10, Issue 8
Abstract
Recently, due to easy accessibility of smartphones, digital cameras and other video recording devices, a radical enhancement has been experienced in the field of digital video technology. Digital videos have become very vital in court of law and media (print, electronic and social). On the other hand, a widely-spread availability of Video Editing Tools (VETs) have made video tampering very easy. Detection of this tampering is very important, because it may affect the understanding and interpretation of video contents. Existing techniques used for detection of forgery in video contents can be broadly categorized into active and passive. In this research a passive technique for video tampering detection in spatial domain is proposed. The technique comprises of two phases: 1) Extraction of features with proposed Video Binary Pattern (VBP) descriptor, and 2) Extreme Learning Machine (ELM) based classification. Experimental results on different datasets reveal that the proposed technique achieved accuracy 98.47%.
Authors and Affiliations
Mubbashar Sadddique, Khurshid Asghar, Tariq Mehmood, Muhammad Hussain, Zulfiqar Habib
Keywords
Related Articles
- EP ID EP626651
- DOI 10.14569/IJACSA.2019.0100833
- Views 91
- Downloads 0
Implementation of the RN Method on FPGA using Xilinx System Generator for Nonlinear System Regression
In this paper, we propose a new approach aiming to ameliorate the performances of the regularization networks (RN) method and speed up its computation time. A considerable rapidity in totaling calculation time and high p...
Wi-Fi Redux: Never Trust Untrusted Networks
This study analyzes the dangers posed to computer user information and their equipment as they connect to untrusted networks, such as those found in coffee shops. Included in this study is a virtualized lab consisting of...
Retrieval of Images Using DCT and DCT Wavelet Over Image Blocks
This paper introduces a new CBIR system based on two different approaches in order to achieve the retrieval efficiency and accuracy. Color and texture information is extracted and used in this work to form the feature ve...
Classifying Personalization Constraints in Digital Business Environments through Case Study Research
To aid professionals in the early assessment of possible risks related to personalization activities in marketing as well as to give academics a starting point to discover not only the opportunities but also the risks of...
Effect of TCP Buffer Size on the Internet Applications
The development of applications, such as online video streaming, collaborative writing, VoIP, text and video messengers is increasing. The number of such TCP-based applications is increasing due to the increasing availab...