Towards Efficient Bandwidth Management in Live Video Streaming using Redundancy Exploitation

Azegba Okechukwu Levi, Eze-Udu Emmanuel, Aniji Ifesinachi, Ugwoke Sylvester Ikedichi, Ekeh Lawrence Kelechi, Okereke Chidiebere Celestine

Abstract


The rapid growth of the Internet and increasing demand for multimedia services have significantly accelerated the adoption of video streaming applications. Despite these advancements, efficient bandwidth utilization remains a major challenge due to the best-effort nature of Internet services. One of the primary factors contributing to inefficient bandwidth usage is data redundancy within video streams. Effective identification and elimination of these redundancies can significantly improve bandwidth efficiency and enhance the Quality of Service (QoS) of live video streaming systems. This paper examines the major forms of redundancy present in digital video, including spatial, temporal, spatio-temporal, perceptual, and statistical redundancies. It further discusses how these redundancies can be exploited through video compression techniques to reduce transmission overhead and improve streaming performance. By minimizing redundant information, factors such as transmission delay, frame loss, and video quality degradation can be significantly reduced, thereby ensuring optimal bandwidth utilization even under constrained network conditions. 


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