A Nonlinear Analytical Approach for Video Compression in Telecommunication

Abstract

Introduction: The shift from analog to digital video has revolutionized communication by offering noise resistance, clarity, ease of transmission, and interactive user experiences. Digital video supports greater content capacity, catering to diverse viewer preferences and enhancing multimedia consumption. A nonlinear analytical approach for video compression techniques, such as transform coding, predictive coding, motion compensation, and entropy coding, play a vital role in applications like video conferencing and live streaming, enabling real-time transmission while efficiently utilizing network resources and storage. The integration of these technologies fosters a dynamic, high-quality multimedia ecosystem

Objectives: Research and development in nonlinear video compression objectives focus on reducing video file sizes without compromising quality by leveraging redundancies and characteristics of video data. This is vital objectives for applications like video streaming, conferencing, digital television, and multimedia distribution, driving improvements in storage efficiency, bandwidth utilization, and user experience.

Methods: Existing methodologies for block matching motion estimation, such as FS, TSS, NTSS, DS, and ETSS, have shown limitations in video compression. To address this, a novel "Nonlinear approach" combining the Hexagonal Search (HS) and Efficient Three Step Search (ETSS) algorithms has been proposed. This technique aims to reduce redundancy, minimize search points, and improve video compression efficiency. It also delves into the complexities of motion estimation and compensation, providing insights from the conceptualization of video sequences to the implementation of motion-compensated coding techniques.

Results: All the parameters such as Sum of Absolute Difference (SAD), Mean of Absolute Difference (MAD), Mean Square Error (MSE), Peak-Signal to Noise Ratio (PSNR) and Compression Ratio are applied for the statistical performance study. Nonlinear approach gives appreciable results as compared with the existing methodologies. Video quality as also assessed through various nonlinear compression techniques give better results.             

Conclusions: A Nonlinear approach to block matching motion estimation has been introduced, integrating the strengths of Efficient Three-Step Search (ETSS) and Hexagonal Search (HS). This method delivers superior results while requiring fewer search points than traditional algorithms such as TSS, FS, NTSS, and 4SS. Hexagonal Search (HS) also outperforms Diamond Search (DS) and Cross Diamond Search (CDS) in efficiency. Rigorous testing using the Akiyo.avi standard database confirms the Nonlinear approach's effectiveness, particularly in reducing computational complexity, making it a more advanced motion compensation technique compared to ETSS.