Complexity adaptation in H.264/AVC video coder for static cameras

Abstract

H.264/AVC uses variable block size motion estimation (VBS-ME) to improve coding gain. However, its complexity is significant and fixed regardless of the required quality or of the scene characteristics. In this paper, we propose an adaptive complexity algorithm based on using the Walsh Hadamard Transform (WHT). VBS automatic partition and skip mode detection algorithms also are proposed. Experimental results show that 70% -5% of the computation of H.264/AVC is required to achieve the same PSNR.

Edge-Based Coding Tree Unit Partitioning Strategy in Inter Prediction

“…The efficiency is determined by the mean number of search points (# of sp), and the prediction quality is given by the peak signal-tonoise ratio (PSNR). The proposed approach presents a higher prediction quality than [2], in Table 3. However, the evaluation is only on the inter prediction component.…”

“…For this reason, a block is subsampled when it is classified as a flat block. Kim and O'Connor [2] proposed a strategy based on edge detection using Walsh-Hadamard transform (WHT) and a skip mode detection according to quantisation parameter. If a block has an edge, it is split into four blocks of same size.…”

“…4. The proposed approach is compared with the strategy proposed by Kim and O'Connor [2], which works based on edge detection using the WHT. This strategy uses a 2×2 matrix, and requires twelve operations per four samples.…”