Video Compression System for Mobile Application

While traditional software-based solutions frequently result in excessive power consumption and limited battery life, video compression is essential for optimizing bandwidth and improving user experiences in mobile applications. To overcome these limitations, the low-power FPGA-based video compression system proposed in the study makes use of the H.265/HEVC method. The FPGA-based system uses hardware-level parallelism to provide significant energy savings and higher performance, in contrast to current approaches that rely on general-purpose CPUs and GPUs, which are inefficient for parallel processing workloads. With a peak signal-to-noise ratio (PSNR) of 45.2 dB and a 50:1 compression ratio, the implementation shows a 60% reduction in power consumption over software-based H.264/AVC. Furthermore, processing at 60 frames per second with a 16-millisecond latency per frame, the FPGA-based system surpasses existing methods in terms of speed and efficiency. Providing enhanced energy efficiency and real-time processing capabilities, the implementation marks a significant breakthrough in video compression technology for mobile applications.

Authors

Institutions

Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/gccit63234.2024.10862521
Primary Topic
Video Coding and Compression Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Video Compression System for Mobile Application

S. Tasleem Abitha, R Akshaya, S. Asha
Video Coding and Compression Technologies
article

Video Compression System for Mobile Application

S. Tasleem Abitha, R Akshaya, S. Asha
article en

Abstract

While traditional software-based solutions frequently result in excessive power consumption and limited battery life, video compression is essential for optimizing bandwidth and improving user experiences in mobile applications. To overcome these limitations, the low-power FPGA-based video compression system proposed in the study makes use of the H.265/HEVC method. The FPGA-based system uses hardware-level parallelism to provide significant energy savings and higher performance, in contrast to current approaches that rely on general-purpose CPUs and GPUs, which are inefficient for parallel processing workloads. With a peak signal-to-noise ratio (PSNR) of 45.2 dB and a 50:1 compression ratio, the implementation shows a 60% reduction in power consumption over software-based H.264/AVC. Furthermore, processing at 60 frames per second with a 16-millisecond latency per frame, the FPGA-based system surpasses existing methods in terms of speed and efficiency. Providing enhanced energy efficiency and real-time processing capabilities, the implementation marks a significant breakthrough in video compression technology for mobile applications.

Saveetha University (IN)
Openalex Percentile: Top 70%
Video Coding and Compression Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.