ICTACT Journal on Image and Video Processing

D. Prabakar ¹, K. Venkata Ramana ², A. Thangam ³, S. Esakki Rajavel ⁴, Geogen George ⁵

Affiliations
1 Department of Computer Science and Engineering, Karpagam College of Engineering, IN
2 Department of Computer Science and Engineering, QIS College of Engineering and Technology, IN
3 Department of Mathematics, Pondicherry University Community College, IN
4 Department of Electronics and Communication Engineering, Faculty of Engineering, Karpagam Academy of Higher Education, IN
5 College of Computing and Information Sciences, University of Technology and Applied Sciences, OM

Abstract

With the surge in demand for high-quality video content over various platforms, efficient video compression techniques have become indispensable. High-Efficiency Video Coding (HEVC) has been a cornerstone, yet further enhancements are essential for optimal compression. Despite HEVC’s advancements, achieving optimal compression while maintaining video quality remains challenging. Additionally, existing methods often overlook the computational complexity, hindering real-time applications. We propose a novel approach integrating HEVC with Non-Linear Convolutional MobileNet (NLCM) for enhanced compression efficiency. Our method employs a rate-distortion optimization framework, leveraging the capabilities of both HEVC and NLCM to achieve superior compression performance. NLCM provides adaptive filtering, enhancing spatial and temporal correlations, while HEVC ensures high compression efficiency. Through experimentation on standard video datasets, our method demonstrates significant improvements over existing techniques. Compared to HEVC alone, our approach achieves up to 30% reduction in bitrate at equivalent perceptual quality levels. Moreover, computational complexity is reduced by 15%, enabling realtime applications without compromising performance. The proposed method exhibits competitive results across various resolutions and frame rates, making it versatile for diverse video compression scenarios.

Keywords

HEVC, Non-Linear Convolutional MobileNet, Compression Efficiency, Rate-Distortion Optimization

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