The 4×4 approximate discrete cosine transform (DCT) of H.264/AVC [1] makes it difficult to transcode the pre-coded video contents with the previous video coding standards to H.264/AVC in DCT domain. This is due to the difference between 8×8 DCT used previous standards and 4×4 DCT in H.264/AVC. In this paper, we propose an efficient algorithm that converts the quantized 8×8 DCT block of MPEG-2 into newly quantized four 4×4 DCT blocks of H.264/AVC to support DCT-domain transcoding. Experimental results show that the proposed scheme improves computational complexity by 5~11% and video quality by 0.1 ~ 0.5 dB compared with cascaded pixeldomain transcoding that exploits inverse quantization (IQ), inverse DCT (IDCT), DCT, and re-quantization (re-Q).
In H.264/AVC [1], integer transforms are applied instead of the 8×8 discrete cosine transform (DCT) of previous standards to avoid inverse transform mismatch problems. However, these transforms make it difficult to transcode the precoded video contents with the earlier video coding standards into H.264/AVC in DCT-domain, thus causing cascaded re-encoding in the pixel-domain. There are strong requests for an efficient way to solve this problem. In this paper, we propose a new conversion scheme from an 8×8 DCT block into four 4×4 DCT blocks in H.264/AVC. Experimental results show that the proposed scheme improves PSNR up to 0.1dB and a little computational complexity compared with the cascaded pixel-domain IDCT/DCT. Moreover, other DCT-domain transcoding methods are applicable based on our scheme.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.