Efficient predictive model of zero quantized DCT coefficients for fast video encoding
Image and Vision Computing
Adaptive method for early detecting zero quantized DCT coefficients in H.264/AVC video encoding
IEEE Transactions on Circuits and Systems for Video Technology
Zero-block mode decision algorithm for H.264/AVC
IEEE Transactions on Image Processing
Early determination of zero-quantized 8 × 8 DCT coefficients
IEEE Transactions on Circuits and Systems for Video Technology
Dynamic replacement of video coding elements
Image Communication
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This paper presents a novel efficient prediction algorithm to reduce redundant discrete cosine transform (DCT) and quantization computations for H.264 encoding optimization. A theoretical analysis is performed to study the sufficient condition for DCT coefficients to be quantized to zeros. As a result, three sufficient conditions corresponding to three types of transform and quantization methods in H.264 are proposed. Compared with other algorithms in the literature, the proposed algorithm derives more precise and efficient conditions to predict zero quantized DCT coefficients. Both the theoretical analysis and experimental results demonstrate that the proposed algorithm is superior to other algorithms in terms of the computational complexity reduction, encoded video quality, false acceptance rate, and false rejection rate.