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Chessboard-interpolation-based multiple description video coding

Science in China(Series F) 2004年第1期47卷 66-74页

作者： FANChen CUIHuijuan TANGKun statekeylaboratoryonmicrowaveanddigitalcommunications DepartmentofElectronicsEngineeringTsinghuaUniversityBeijing100084China

To enhance the robustness of video transmission over noisy channels, this paper presents a multiple description video coding algorithm based on chessboard-interpolation. In the algorithm, the input image is decomposed according to the chessboard pattern, and then interpolated to produce two approximate images with the same resolution. Consequently, the state-of-the-art DCT+MC (Discrete Cosine Transform + Motion Compensation) video codec is independently applied to the two approximate images to generate two descriptions of the original image. In this framework, a fairely good reconstructed image quality is obtained when two descriptions are received simultaneously, while an acceptable reconstructed image quality could be yielded if only one description is available. Moreover, the mismatch between the encoder and the decoder could be effectively controlled through partial coding of the difference signal between two descriptions. In bidirectional video communications, a drift control scheme is further proposed, in which the error drift could be eliminated after the encoder imitating the error concealment actions of the decoder. Since the inherent correlation among adjacent blocks of DCT+MC video coding is efficiently exploited, this algorithm has a better redundancy-rate-distortion (RRD) performance than other multiple description algorithms. Simulation results show that the proposed algorithm is fairly robust while preserves a high compression rate. A more constant reconstructed image quality is achieved over extremely noisy channels, compared with traditional single description coding. In addition, it is observed that the mismatch and the error drift are effectively controlled.

关键词： video coding multiple description coding chessboard interpolation error drift.

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维普期刊数据库

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Superior step-size theorem and its application——Parallel variable step-size LMS filters algorithm

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Science in China(Series F) 2004年第2期47卷 151-160页

作者： GUYuantao TANGKun CUIHuijuan statekeylaboratoryonmicrowaveanddigitalcommunications DepartmentofElectronicsEngineeringTsinghuaUniversityBeijing100084China

With independence assumption, this paper proposes and proves the superior step-size theorem on least mean square (LMS) algorithm, from the view of minimizing mean squared error (MSE). Following the theorem we construct a parallel variable step-size LMS filters algorithm. The theoretical model of the proposed algorithm is analyzed in detail. Simulations show the proposed theoretical model is quite close to the optimal variable step-size LMS (OVS-LMS) model. The experimental learning curves of the proposed algorithm also show the fastest convergence and fine tracking performance. The proposed algorithm is therefore a good realization of the OVS-LMS model.

关键词： adaptive filtering LMS superior step-size theorem parallel variable step-size LMS filters algorithm.

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维普期刊数据库

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