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ABSTRACT: In order to get accurately the coding characteristics of current basic unit, a novel adaptive coding characteristic prediction scheme called texture-complexity estimation is proposed. Through adaptive linear texture-complexity and overhead prediction model as well as optimum bits allocation scheme, we can obtain current basic unit coding parameter such as texture-complexity, overhead bits count and texture bits budget, and then the quantization parameter can be directly calculated. Simulation results show that the H.264 encoder, using the proposed rate control algorithm, achieves a visual quality improvement up to 0.388 dB, meets better with target bit rates and produces more flat bit-rate curve than that using the H.264 previous rate control method (JVT-G012).
Intelligent Signal Processing and Communication Systems, 2007. ISPACS 2007. International Symposium on; 01/2008
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ABSTRACT: A novel adaptive coding characteristic prediction scheme called RD-cost prediction model is proposed. Through this linear model and optimum bit allocation, RD-cost and texture bits budget of current basic unit can be obtained, and then the quantization parameter (QP) can be directly calculated. Simulation results show that the H.264 encoder, using the proposed algorithm, achieves a visual quality improvement up to 0.302 dB, meets better with target bit rates, produces more flat bit-rate curve and decreases more computation complexity than that using H.264 previous rate control method JVT-G012.
Multimedia and Expo, 2007 IEEE International Conference on; 08/2007
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ABSTRACT: This paper presents an innovative algorithm for detecting all-zero discrete cosine transform (DCT) coefficient blocks prior to DCT and quantization for all block-based video coding standards. A mathematic model is established based on analyzing DCT coefficient distribution and applying Paseval energy conservation theorem. The algorithm is applied to H.264 video coding and experimental results show up to 32% higher detection ratio without degrading video quality, compared with results of the existing methods. Furthermore, up to 47% higher detection ratio is achieved by changing the threshold based on DCT coefficient distribution. For motion estimation, much less search points needed by using the proposed method as early termination criterion than that by using the existing methods
IEEE Transactions on Circuits and Systems for Video Technology 03/2007; · 1.65 Impact Factor
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ABSTRACT: To reduce the computation complexity of discrete cosine transform (DCT) and quantization in H.264 video coding, a highly effective algorithm to detect all-zero DCT coefficient blocks (AZB) before DCT is proposed, after analyzing the distribution model of DCT coefficients and the properties of the integer DCT and quantization. Experimental results show that the detection ratio of the proposed algorithm achieves up to 98% and up to 47% higher than that of the existing methodologies.
Circuits and Systems, 2006. MWSCAS '06. 49th IEEE International Midwest Symposium on; 09/2006