Abstract
Usually, it is difficult to perform compression in video files as it significantly affects the perceptible quality. This paper has reviewed various works of literature toward finding unique approaches to video compression to find that the existing techniques offer a sophisticated algorithm for implementation with less focus on the visual quality of the decoded contents. Hence, this paper presents a model that uses graph theory to perform video compression compatible with High-Efficiency Video Coding (HEVC) standards of compression. By adoption of the Lagrangian theorem, the proposed algorithm finds the best solution for compression and offers better compression standards. The outcomes are compared with existing H.264 and existing research work to find that the proposed system excels better with respect to PSNR and bit rate and thereby offers better compatibility to compress High Definition (HD) videos.
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