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Distributed Factor Sharing Algorithm for Intra Prediction in H.264 Encoder

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A distributed factor sharing (DFS) algorithm for H.264 intra prediction in video encoding has been explained in detail in this work. In this algorithm the same gradient textures are predicted in a single access of registers, thus number of registers used are significantly reduced. The DFS method bypasses conventional block prediction that has unique convolution values in all modes which can complete intra prediction by examining the standard 9 modes. But the proposed approach in Intra prediction reduces the block prediction time and the simulation results shows that high speed prediction due to factor sharing of unique blocks yields high throughput with low area and bit size. It has also been demonstrated experimentally with the use of hardware cyclone III DE0 FPGA Device.
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Keywords: Gradient; Intra Prediction; Modes; Prediction; Texture

Document Type: Research Article

Affiliations: 1: Sathyabama University, Jeppiaar Nagar, Chennai 119, India 2: Department of Electronics and Communication Engineering, Sathyabama University, Jeppiaar Nagar, Chennai 119, India

Publication date: June 1, 2017

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  • Journal of Computational and Theoretical Nanoscience is an international peer-reviewed journal with a wide-ranging coverage, consolidates research activities in all aspects of computational and theoretical nanoscience into a single reference source. This journal offers scientists and engineers peer-reviewed research papers in all aspects of computational and theoretical nanoscience and nanotechnology in chemistry, physics, materials science, engineering and biology to publish original full papers and timely state-of-the-art reviews and short communications encompassing the fundamental and applied research.
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