JPEG XS Compression for Video Telemetry

The Joint Photographic Experts Group (JPEG) XS video compression standard provides visually lossless imagery at typical compression ratios of 10:1, allowing transmission of multiple channels of high-definition video over GbE networks. As video bandwidths continue to increase with higher definition and higher frame rate sources, visually lossless encoding with sub-millisecond encode/decode latencies, a networked infrastructure, and a reliably constant bitrate transport stream, becomes a compelling alternative to uncompressed video. An overview of JPEG XS and transport methods is presented along with targeted test platform applications, including ground network video distribution and AI-enabled object detection-based Region of Interest (ROI) use cases for bandwidth-limited data links. Comparisons and tradeoffs with other light and higher compression technologies are discussed.

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Publication Details

Journal
UA Campus Repository (The University of Arizona)
Published
2024-10-01
Primary Topic
Advanced Data Compression Techniques
Type
article
Field-Weighted Citation Impact
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article

JPEG XS Compression for Video Telemetry

UA Campus Repository (The University of Arizona)
Advanced Data Compression Techniques
article

JPEG XS Compression for Video Telemetry

article en

Abstract

The Joint Photographic Experts Group (JPEG) XS video compression standard provides visually lossless imagery at typical compression ratios of 10:1, allowing transmission of multiple channels of high-definition video over GbE networks. As video bandwidths continue to increase with higher definition and higher frame rate sources, visually lossless encoding with sub-millisecond encode/decode latencies, a networked infrastructure, and a reliably constant bitrate transport stream, becomes a compelling alternative to uncompressed video. An overview of JPEG XS and transport methods is presented along with targeted test platform applications, including ground network video distribution and AI-enabled object detection-based Region of Interest (ROI) use cases for bandwidth-limited data links. Comparisons and tradeoffs with other light and higher compression technologies are discussed.

UA Campus Repository (The University of Arizona)
Digital Video (Italy) (IT)
Industry, innovation and infrastructure
Openalex Percentile: Top 59%
Advanced Data Compression Techniques
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