REDUCTION OF MEMORY REQUIREMENTS USING SUM OF ABSOLUTE DIFFERENCES(SAD)
G. M. G. Madhuri, S Padmavathi, P. Jhansi, N. Sai Kumar · International Journal of Engineering Applied Sciences and Technology · 2020
In the video compression, motion estimation is the most computationally intensive task which occupies almost 80% of the computational load.On the other hand, the demand for ultra-high-definition (UHD) introduces another four times increase on the load which ultimately increases the latency and memory requirements.The Sum of Absolute Differences (SAD) reduces memory requirements to a large extent by utilizing the absolute differences reuse strategy.SAD reuse is a critical technique to achieve real time processing in hardware, where computed SAD values are stored and hierarchically used for large blocks.This method employs three basic units namely SAD computation, SAD comparator, SAD summation which computes the SAD values and also compares them.The "Reduction of memory requirements using Sum of Absolute Differences (SAD)" is achieved using MATLAB.