WaterBottom Video Coding Based on Coding Oriented Reference Frame Generation The video contents containing water scenes, such as seashore, watersports, riverside, waving pool etc. are rich in sensation of presence. From the video coding point of view, those sequences are quite difficult to encode efficiently because of random movement and nonlinear deformation of the objects seen through waving water. This paper aims to tackle this problem by generating one additional frame from input video sequence. We additionally encode the frame and store as longterm reference frame and then encode the input sequence while referring to the additional frame. The key idea of it is to generate as good reference frame as possible in terms of motion compensation accuracy, and hence, in terms of coding efficiency. Our novel approach yielded BDRate reduction of 12 to 42% compared to VTM1.1 and 13 to 48% compared to VTM4.0, next generation video coding test model.

Reference Picture Synthesis for Video Sequences Captured with a Monocular Moving Camera Interframe prediction plays an important role in video coding by predicting the current frame from previously encoded pictures, called reference pictures. In the case of camera motion, the content of a current frame could be very different from its reference pictures and may consequently lead to a more difficult Motion Compensation (MC). The main idea of this paper is to process the input 2D video sequence in order to estimate the 3D geometry of the scene and then employ this data to virtually synthesize geometrically compensated reference pictures. Since these virtual reference pictures are more similar to the current frame, motion estimation and consequently coding efficiency could be enhanced. The proposed method is tested over six different video sequences and around 11% bitrate reduction is achieved compared to the High Efficiency Video Coding (HEVC) standard.