An Optimized Bit-Stream Compression Scheme for Real-Time Video Telemetry

International Journal of Computer Science and Technology Vol. 2, No. 12, December 2000 | pp. 89–96

DOI: 10.46882/2000/IJCST/000024

Research Article

Title: An Optimized Bit-Stream Compression Scheme for Real-Time Video Telemetry

Names of Authors: Pierre G. Larson¹, Chao Wei-Hua²

Authors’ Affiliations: ¹Inria Research Centre, Sophia Antipolis, France; ²Department of Computer Science, National Chiao Tung University, Hsinchu, Taiwan.

Abstract:
Real-time video telemetry over narrow-bandwidth wireless channels suffers from extreme frame degradation, high buffering latencies, and high data loss frequencies. Standard compression algorithms require excessive hardware processing overhead, which degrades the performance of resource-restricted embedded transceivers. This paper introduces a lightweight, hardware-optimized block-layer compression model tailored for high-speed streaming telemetry. By restructuring the spatial transformation algorithms and utilizing an adaptive run-length encoder array, the compression engine minimizes memory allocations and hardware cycles. We deployed the protocol variant on an embedded system to track processing speed and battery drainage. The experimental results show a 31.2% drop in processor load and a 16.5% reduction in data transmission size when compared with standard baseline video compression models. Security verification checks prove that the data structures retain structural stability against high bit-error rates. This framework satisfies the strict streaming metrics needed for critical aerial and industrial surveillance applications.

Keywords: Video Telemetry, Data Compression, Embedded Systems, Bit-Stream Optimization, Image Encoding, Wireless Transmission.

Manuscript Timeline: Received: September 10, 2000; Revised: October 22, 2000; Accepted: November 15, 2000; Published: December 28, 2000.

Citation: Larson, P. G., & Wei-Hua, C. (2000). An Optimized Bit-Stream Compression Scheme for Real-Time Video Telemetry. International Journal of Computer Science and Technology, 2(12), 89–96.

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