  Real-time video life streaming of events over a network continued to gain
more popularity among the populace. However, there is need to ensure the
judicious utilization of allocated bandwidth without compromising the Quality
of Service (QoS) of the system. In this regard, this paper presents an approach
based on spatio-temporal frame indexing that detects and eliminate redundancy
within and across captured frame, prior transmission from the server to
clients. The standard and local low motion videos were the two scenarios
considered in evaluating the performance of the proposed algorithm. Results
obtained showed that the proposed approach achieved an improvement of 5.13%,
15.8% and 5%, 15.6% improvement in terms of the buffer size and compression
ratio. Though with a tradeoff of the frame-built time, where both the standard
and local frame indexing outperforms the proposed scheme with 10.8% and 8.71%
respectively.
