Video Deduplication using CNN(Conv2d) and SHA-256 hashing

We all know that there is an exponential growth in the production of digital data. The user of the internet approaches the cloud service providers to upload the video data into the cloud. The cost and size of the digital videos is huge. Hence there is great need for techniques which aims at optimizing the cost and size for storing the data. This paper provides a comprehensive overview of video deduplication system by extracting the global and local features of the video. The major techniques employed in the process of video deduplication are Conv2d i.e., CNN algorithm to extract the local features of the video and hashing algorithms like SHA-256 to extract the global features of the video.