Hybrid Model to Detect Zero Quantized DCT Coefficients in H.264
IEEE Transactions on Multimedia
Early detection method of all-zero integer transform coefficients
IEEE Transactions on Consumer Electronics
An enhanced detection algorithm for all-zero blocks in H.264 video coding
IEEE Transactions on Consumer Electronics
An improved early detection algorithm for all-zero blocks in H.264 video encoding
IEEE Transactions on Circuits and Systems for Video Technology
Efficient prediction algorithm of integer DCT coefficients for H.264/AVC optimization
IEEE Transactions on Circuits and Systems for Video Technology
A General Method for Detecting All-Zero Blocks Prior to DCT and Quantization
IEEE Transactions on Circuits and Systems for Video Technology
VLSI implementation of a configurable IP Core for quantized discrete cosine and integer transforms
International Journal of Circuit Theory and Applications
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In H.264/AVC video encoding, zero quantized discrete cosine transform (DCT) coefficients are quite common in low bit-rate video application. The computations of DCT and quantization can be remarkably reduced if zero quantized DCT coefficients are detected prior to DCT and quantization. Many methods have been applied to early detect most zero quantized DCT coefficients. But the detection ratios of zero quantized DCT coefficients need to be improved when quantization parameter (QP) is small. We present an adaptive method to detect zero quantized DCT coefficients. When QP exceeds a certain value, a new threshold is derived to efficiently detect the all-zero blocks (AZBs) without any video degradation. Otherwise, a concept of fourteen-zeros block (FZB), which means only two coefficients are non-zero in 16 DCT coefficients of a 4 × 4 block, is proposed. An innovative method to process FZBs is proposed to reduce the redundant computations. Experimental results show that the proposed adaptive method achieves approximately 8%-20% computational savings, compared with that of the existing methods.