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Motion estimation (ME) is a key operation for video compression. In fact, it contributes heavily to the compression efficiency by removing temporal redundancies. This process is the most critical part in a video encoder and can consume itself more than 50% of coding complexity or computational coding time. To reduce the computational time, many fast ME(More)
In this paper, a fast Coding Unit (CU) partitioning algorithm is proposed to reduce encoding time of HEVC test model (HM). HEVC is the new generation video codec which improves the coding efficiency significantly and provides more than 50% bit rate reduction while maintaining the same image quality compared to its predecessor H.264/AVC. Different sizes of(More)
High-efficiency video coding is the latest standardization effort of the International Organization for Standardization and the International Telecommunication Union. This new standard adopts an exhaustive algorithm of decision based on a recursive quad-tree structured coding unit, prediction unit, and transform unit. Consequently, an important coding(More)
The latest High Efficiency Video Coding was aggregated in order to enhance the previous H264.AVC by a rate compression decrease of 50% with the same image quality. The HEVC intra prediction procedure requires a high computational complexity that needs to be alleviated. To this end, the paper proposes a new approach of intra prediction process without the(More)
HEVC is planned to provide better coding efficiency. However, this efficiency comes with an important computational complexity. Many works are undergoing to decrease the complexity of the encoder. Nevertheless, the analysis of the encoder' decision is necessary to have an idea about partitioning mode of the CUs in terms of size and type. This paper presents(More)
As the new generation standard of video coding, the High Efficiency Video Coding (HEVC) is intended to provide significantly better coding efficiency than all existing video coding standards. One of his improvements is the encoding process of the structure block. It was established that this process requires high computing power because it is performed(More)
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