Date of Award

5-24-2018

Document Type

Thesis

Publisher

Santa Clara : Santa Clara University, 2018.

Degree Name

Master of Science (MS)

Department

Computer Engineering

First Advisor

Nam Ling

Abstract

The High Efficiency Video Coding standard introduced thirty-five intra prediction modes. It employed a method based on three most probable modes (MPM) to improve intra mode coding. This method significantly improved the performance by extracting three MPMs out of the thirty-five intra modes. The Joint Video Exploration Team (JVET) defines sixty-seven intra prediction modes for a possible future video coding standard. In the latest JVET development, six MPMs are chosen, and the remaining sixty-one modes are divided into sixteen “selected” and forty-five “non-selected” modes. These non-MPM modes are coded using fixed length coding. This research focusses on finding more efficient ways to code these intra prediction modes, including MPM modes and non-MPM modes. A method is proposed to select and order the sixty-one non-MPM modes based on probability statistics. The modes that fall into selected category are coded using shorter codes and non-selected modes are coded using larger codes, which is in line with the principle of entropy coding. Experimental results prove performance improvement when compared to JEM7.0 software as a reference.

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