Chessboard-interpolation-based multiple description video coding

作     者：FANChen CUIHuijuan TANGKun 

作者机构：StateKeyLaboratoryonMicrowaveandDigitalCommunicationsDepartmentofElectronicsEngineeringTsinghuaUniversityBeijing100084China 

出 版 物：《Science in China(Series F)》 (中国科学（F辑英文版）)

年 卷 期：2004年第47卷第1期

页      面：66-74页

核心收录：

学科分类：0810[工学-信息与通信工程] 08[工学] 081001[工学-通信与信息系统] 

基　　金：National Natural Science Foundation of China, NSFC, (60272020) National Key Research and Development Program of China, NKRDPC, (G1998030406) 

主　　题：video coding multiple description coding chessboard interpolation error drift. 

摘      要：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.