Today, many consumer electronics devices have video capturing capability which is one of
the most time, power and memory consuming application. Motion estimation (ME) is the key …

Motion estimation is the most computationally complex and power consuming module in
video encoder hardware. Approximate hardware can achieve better performance, area and …

Motion estimation (ME) is the most computationally intensive part of video compression and
video enhancement systems. One bit transform (1BT) based ME algorithms have low …

An efficient adaptive search range determination approach for constrained one-bit transform
based block motion estimation is presented in this paper. This approach employs only one …

A new block matching algorithm and its VLSI architecture for performing Motion Estimation
(ME) are presented in this paper. In the reported fast two stage search algorithm, ME is …

Video encoding is one of the most emerging application in many consumer electronics
devices such as smartphones, tablets, cameras and camcorders in order to reduce required …

Motion estimation (ME) processes is considered as the most computationally intensive part
of the conventional video compression standards. Low bit-depth representation based ME …

The significant increase in digital video usage and spatial and temporal video resolutions,
has led to the development of new video coding standards, which can compress more …

A new motion estimation method and its hardware implementation are presented in this
paper. In this method, all the frames are firstly gray coded. After that, the two most significant …

Video quality generally suffers from packet losses caused by an unreliable channel when
video is transmitted over an error-prone wireless channel. This quality degradation is the …