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Motion estimation (ME) is the most important component of current video encoders, however, it presents a very high computational complexity. To deal with this complexity, fast ME search algorithms are widely used, since they can greatly speed up this process. Fast search algorithms are vulnerable to choose local minima, producing quality losses, and these(More)
This work presents a high throughput hardware design for the Adaptive Loop Filter (ALF) cores, a new technique proposed by the High Efficiency Video Coding (HEVC), the emerging video coding standard, in order to improve the subjective video quality. The ALF is a part of the In-Loop Filter which also includes the Deblocking Filter (DF) and the Sample(More)
This paper presents a new algorithm focusing in high quality fast motion estimation for high definition video coding and a hardware design for the random search step. This algorithm provides more efficiency to avoid local minima falls in fast motion estimation due to random search exploration. The random strategy doesn't have data dependences to the(More)
This paper presents a new algorithm for motion estimation in high definition videos and it also proposes a hardware architecture to perform it. The algorithm uses a random search in the candidate blocks as strategy to avoid local minima falls and to increase the motion estimation quality. This algorithm is called Galaxy Random Search (GRS). Software(More)
This paper presents a new algorithm focusing in high quality fast motion estimation for high definition video coding. This algorithm provides more efficiency to avoid local minima falls in fast motion estimation due to random search exploration. The developed algorithm is called Random Search with Iterative Center Evaluation and Iterative Final Refinement(More)
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