FPGA Implementation of Optimal 3D‐Integer DCT Structure for Video Compression

Abstract

A novel optimal structure for implementing 3D-integer discrete cosine transform (DCT) is presented by analyzing various integer approximation methods. The integer set with reduced mean squared error (MSE) and high coding efficiency are considered for implementation in FPGA. The proposed method proves that the least resources are utilized for the integer set that has shorter bit values. Optimal 3D-integer DCT structure is determined by analyzing the MSE, power dissipation, coding efficiency, and hardware complexity of different integer sets. The experimental results reveal that direct method of computing the 3D-integer DCT using the integer set [10, 9, 6, 2, 3, 1, 1] performs better when compared to other integer sets in terms of resource utilization and power dissipation.

High-Performance Server-Based Live Streaming Transmission Optimization for Sports Events in Smart Cities

“…On the other hand, the storage space of high-performance server can be saved to reduce its pressure so that the high-performance server works smoothly. e principle of video compression is to compile the original video through encoder [9,10], where the encoder has two functions, that is, (i) reading the signals of video and (ii) discerning and counting the residual signals. In this paper, the deep learning is used to complete the compression of sports video.…”