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Motion estimation is the important and computationally intensive part of any video encoding. The objective of this paper is to design and analyze the coarse and fine reconfiguration of processing element‐based hardware design for block matching–based motion estimation in H.265/HEVC video processing. Sum of absolute difference (SAD) is the commonly used criteria for block matching in the motion estimation...
The Internet of Things (IoT) is spanning into the most diverse, widespread and pervasive global network of all. In IoT applications, enormous amounts of heterogeneous and unstructured data are continuously generated on an unprecedented scale. The data sensed is sent across the network which increases the network traffic. Retrieving the data in an efficient and economical way is also a challenge. The...
This paper proposes a system-on-chip design to perform run-time reconfiguration using soft-core processor. The reconfigurable module consists of a set of Processing Elements (PEs) that are fully connected to each other through a crossbar network. Run-time reconfiguration is achieved by dynamically selecting the desired number of PEs based on the input data set through soft-core processor. This dynamic...
Motion Estimation (ME) plays an important role in video compression. In Block Matching (BM) based ME approach, Exhaustive search algorithm (ES) is the initial algorithm which finds the Motion Vector (MV) through Mean Absolute Difference values for all macro blocks of the search window. But the computations required is more. Recently, several fast BM algorithms like diamond search, Three step search,...
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