Novel Coding Tools Based on Characteristics for Short Videos

Abstract

Currently, short videos occupy large proportion of live streaming media and short video coding attracts intense attention. Different from traditional online videos, short videos feature frequent scene switching and allow various complex special effects to be added. For the unique characteristics of these short videos, we proposed an advanced video compression platform, which includes Library Picture based Cross Random Access Point Reference (LP-CRAPR), Affine-based Intra Block Copy (AIBC) and Local Illumination Compensation (LIC), to meet the challenges of short video coding. The experimental results show that our proposed platform has performed 5.84% and 2.74% gain under Random Access (RA) and All Intra (AI) configuration compared to VTM 4.0, with approximately two times encoding complexity increasing and no additional decoding time. For our proposed short video coding, high coding efficiency and improved subjective results are achieved.