Paper
Effective Intra Mode Decision and Motion Estimation Based on Edge Information
- Authors:
- Jie Kong; Yule Yuan; Yong Zhao; Xinan Wang
- Abstract
- In this paper, we use edge information to fast intra mode decision and improve the performance of binary block motion estimation. For intra mode decision, we present a very simple, yet efficient, algorithm in AVS video coding based on edges detection and Support Vector Machine (SVM). The technique uses the SOBEL operator to check the edge information from the total image before its intra prediction. Then we use SVM classifier which is trained by the edge points to decide the mode of block for AVS intra prediction. Because only one prediction mode is chosen for rate-distortion optimization calculation using the proposed algorithm, simulation results also show that the proposed scheme achieves up to 16% computational saving with no video quality degradation, compared with results of the existing method. For binary block motion estimation, we studied that 2BT utilizes mean and standard deviation of a transforming block to get the two bit-planes. Due to the binary blocks coming from local adaptive thresholds, the binary blocks do not take advantage of global information. In the proposed 2BTGLE method, we use one global threshold and one local threshold to get the two bit-planes. The experiments demonstrated that our algorithm gets better performance than the 2BT method.
- Keywords
- Video Coding; Intra Prediction; Motion Estimation; SOBEL; SVM; 2BT
- StartPage
- 175
- EndPage
- 184
- Doi