Blockchain-enabled deep semantic video-to-video summarization for IoT devices. (January 2020)

• Record Type: Journal Article
• Authors: Khan, Gulraiz; Jabeen, Saira; Khan, Muhammad Zeeshan; Khan, Muhammad Usman Ghani; Iqbal, Razi
• Is Part Of: Computers & electrical engineering. Volume 81(2020)
• Publication Date: 2020-01
• Subjects: Video summarization -- Blockchain -- Long short term memory -- Deep features -- Convolution neural network; Computer engineering -- Periodicals; Electrical engineering -- Periodicals; Electrical engineering -- Data processing -- Periodicals; Ordinateurs -- Conception et construction -- Périodiques; Électrotechnique -- Périodiques; Électrotechnique -- Informatique -- Périodiques; Computer engineering; Electrical engineering; Electrical engineering -- Data processing; Periodicals; Electronic journals; 621.302854
• DOI: 10.1016/j.compeleceng.2019.106524
• Languages: English
• ISSNs: 0045-7906

Abstract

Abstract: The rapid development of multimedia technologies gave birth to large video data that demands effective and fast video summarization methods along with ability to assure the authenticity of digital data. Video summarization provides consolidated view of original video in short and compact form of a video. The summarized videos should be transmitted to remote IoT devices through secure channels. To prevent data manipulation and to verify the transmitted data, we exploited the blockchain technology. This paper focuses on different steps of keyframe extraction from a video followed by secure and trusted transmission to the consumers. The proposed system enables the users to summarize a video based on human and objects as parameters. Cryptographic hashes are used with blockchain, hashes are generated from summarized video blocks, signed and transmitted through blockchain. Cumulus blockchain technique is utilized to ensure the video integrity. System allows remote users to get tamper-proofed summarized video of their business sites or any sensitive premises on their smartphones.