Low-complexity transform and quantization in H.264/AVC

By Henrique S. Malvar, A. Hallapuro, M. Karczewicz, Louis Kerofsky. IEEE Trans. Circuits Syst. Video Technol., 2003

734 citations recorded by the source corpus.

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Video coding with H.264/AVC: tools, performance, and complexity (2004, background): “The transform is explained in detail in [15].”
Analysis, fast algorithm, and VLSI architecture design for H.264/AVC intra frame coder (2005, background): “The number of total nonzero coefficients and the number of tailing ones are transmitted as a joint symbol.”
End-to-End Learnt Image Compression via Non-Local Attention Optimization and Improved Context Modeling (2019, methodology): “This is analogous to the scaling operations [49] used in H.”
Rate-distortion analysis for H.264/AVC video coding and its application to rate control (2005, methodology): “However, in H.264/AVC, the relation between and is that , as shown in Fig. 2. This change comes from the integer transform and division-free quantization scheme used in H.264/AVC, i.e., the integer transform [24], [ 25 ] is”
Video Compression - From Concepts to the H.264/AVC Standard (2005, background): “Similarly, only 16-b memory accesses are needed for a good implementation of the forward transform and quantization processes in the encoder. For more information, see [ 75 ].”