| Session: | Poster Session |
| Location: | Poster Area |
| Session Time: | Tuesday, June 26, 15:40 - 17:00 |
| Presentation Time: | Tuesday, June 26, 15:40 - 16:40 |
| Presentation: |
Poster
|
| Paper Title: |
Low-Complexity Intra Prediction Refinements for Video Coding |
| Authors: |
Xin Zhao; Qualcomm Technologies Inc., United States | | |
| | Vadim Seregin; Qualcomm Technologies Inc., United States | | |
| | Amir Said; Qualcomm Technologies Inc., United States | | |
| | Kai Zhang; Qualcomm Technologies Inc., United States | | |
| | Hilmi Egilmez; Qualcomm Technologies Inc., United States | | |
| | Marta Karczewicz; Qualcomm Technologies Inc., United States | | |
| Abstract: |
In existing video coding standards such as H.264/AVC and HEVC, the intra prediction is typically derived using fixed, symmetric prediction filters along the prediction direction, e.g., in planar mode, top-right and bottom-left samples are predicted using symmetric prediction filters. However, in case of asymmetric availability of neighboring reference samples, the performance of intra prediction filters designed in HEVC may not be optimal. To further refine the intra prediction and achieve higher accuracy of prediction samples, this paper proposes low-complexity refinements over HEVC intra prediction, which are applied on frequently used planar, DC, horizontal and vertical modes. The proposed method only requires simple addition and bit-shift operations on top of HEVC’s intra prediction implementation. Experimental results show that, an average of 0.7% coding gain is achieved for intra coding with no increase in run-time complexity. |