Two-Dimensional Map Based Fast Mode Decision for H.264/AVC
PCM '08 Proceedings of the 9th Pacific Rim Conference on Multimedia: Advances in Multimedia Information Processing
Adaptive method for early detecting zero quantized DCT coefficients in H.264/AVC video encoding
IEEE Transactions on Circuits and Systems for Video Technology
An early mode decision algorithm for H.264 optimization
PCS'09 Proceedings of the 27th conference on Picture Coding Symposium
Early determination of zero-quantized 8 × 8 DCT coefficients
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 coding, there are a large number of discrete cosine transform (DCT) coefficients of the prediction residue which are quantized to zeros. Therefore, it is desired to design a method which can early detect zero quantized DCT coefficients (ZQDCT) before implementing DCT and quantization (Q) and thus reduce redundant computations for H.264 coding. To achieve this, a hybrid model is proposed in this paper in order to predict ZQDCT coefficients. First, the Gaussian distribution is applied to study the integer DCT coefficients in H.264 and hence an adaptive scheme with multiple thresholds is derived to realize different types of DCT and Q implementations. Then the adaptive scheme is further optimized by considering a more efficient condition to sufficiently detect all-zero DCT blocks. As a result, a hybrid model is developed. Compared with other methods in the literature, the proposed hybrid model is able to detect more ZQDCT coefficients and hence reduce more computations for H.264 encoding. It is shown by experimental results that the proposed hybrid model can achieve the best performance in reducing computations and obtain almost the same rate-distortion (R-D) performance as the original encoder in the H.264 reference software JM9.5