Video Segmentation and Compression
K. Nithya, S Mythili, M Krishnamoorthi, M. Kalamani · 2023
With the advent of overdriving technologies, the problems faced by computer vision are rectified with the working process like segmentation, compression, etc. The segmentation process is done for the video analysis. In this, based on the coherence between the regions involved in the video, the information is clustered and segregated for analyzing the required part from the video. The capability of video segmentation is to divide and abstract the required frames, recognize the activity, detect the object and enhance the video quality. Video compression is an out-bouncing technique to reduce the number of bits that zip the video file without loss to store and process in a compact space. It gets uplifted with maximum efficacy using artificial intelligence, machine learning and deep learning algorithms. The proposed model is designed for social distance prediction on the basis of the COVID-19 scenario. In the proposed model, a clipped video is taken and segmented into several numbers. With the segments, the region of interest is extracted, and it is applied to the convolutional neural network for further classification to indicate whether social distancing is maintained in that recorded area.