Requantization for transcoding of MPEG-2 intraframes
IEEE Transactions on Image Processing
Architectures for MPEG compressed bitstream scaling
IEEE Transactions on Circuits and Systems for Video Technology
Overview of the H.264/AVC video coding standard
IEEE Transactions on Circuits and Systems for Video Technology
Low-complexity transform and quantization in H.264/AVC
IEEE Transactions on Circuits and Systems for Video Technology
Requantization transcoding for reduced-complexity H.264/AVC video coding applications
SIP '07 Proceedings of the Ninth IASTED International Conference on Signal and Image Processing
Bridging the gap: transcoding from single-layer H.264/AVC to scalable SVC video streams
ACIVS'07 Proceedings of the 9th international conference on Advanced concepts for intelligent vision systems
Requantization transcoding for H.264/AVC video coding
Image Communication
Requantization transcoding of H.264/AVC bitstreams for intra 4×4 prediction modes
PCM'06 Proceedings of the 7th Pacific Rim conference on Advances in Multimedia Information Processing
Hi-index | 0.00 |
In the context of Universal Multimedia Access, efficient techniques are needed for the adaptation of video content. An important example is the reduction of the bitrate in order to satisfy the bandwidth constraints imposed by the network or the decoding capability of the terminal devices. Requantization transcoding is a fast technique for bitrate reduction, and has been successfully applied in previous video coding standards such as MPEG-2. In this paper, we examine requantization in H.264/AVC, focusing on the intra 16×16 prediction modes. Due to the newly introduced coding tools in H.264/AVC, new techniques are needed that are able to lower the bitrate at a minimal quality loss. We propose two novel architectures, one in the pixel domain and one in the frequency domain, that reuse the information from the incoming bitstream in an efficient way, and perform approximately equally well as a cascade of decoder and encoder. Due to their low computational complexity, the introduced architectures are highly suitable for on-the-fly video adaptation scenarios.