Proxybased approaches for IDCT acceleration In the boundary between wired and wireless worlds, proxybased processing has been recognized as an efficient approach to provide clientspecific adaptation to improve the overall performance. For the portable video decoding devices with wireless access ability, fast, lowpower decoding is desirable. In this paper, we propose a novel proxybased framework that is capable of accelerating the IDCT operations performed at the client. We introduce a proxyspecific IDCT algorithm that is not only suitable for the proxy framework, but has finegrained complexity scalability as well. We then demonstrate the effectiveness of the proxy by two examples. The first example is a simple proxy that is assigned the task of IDCT block classification, which is performed at the client along with the IDCT operation conventionally. Experimental results clearly show the complexity advantage of this method. The second example is a more active proxy. Adaptation to the image statistics is introduced. Simulations of the optimization process based on the average complexity criteria show that the client complexity can be further reduced, while maintaining a low side information overhead. Both examples provide the tradeoff between the clientproxy bandwidth increment and the IDCT complexity reduction at the client.

Distributed video coding based on constrained rate adaptive low density parity check Codes Distributed video coding is an emerging area of research for digital video driven partly by the widespread use of video acquisition devices by the consumers. In this paper, we present a distributed video coding scheme based on zero motion identification at the decoder and constrained rate adaptive low density parity check (LDPC) codes. Zeromotionblock identification mechanism is introduced at the decoder, which takes the characters of video sequence into account. The constrained error control decoder can use the bits in the zero motion blocks as a constraint to achieve a better decoding performance and further improve the overall video compression efficiency. It is only at the decoder side that the proposed scheme exploits temporal and spatial redundancy without introducing any additional processing at the encoder side, which keeps the complexity of the encoding as low as possible with certain compression efficiency. As a powerful alternative to Turbo codes, LDPC codes have been applied to our scheme. Since video data are highly nonergodic, we use rateadaptive LDPC codes to fit this variation of the achievable compression rate in our scheme. But one most basic difference between LDPC codes in our scheme and conventional channel coding is that in our scheme, we can make sure some bits are known. Those bits can work as constraints to the decoder and improve the decoding performance. We propose a constrained LDPC decoder not only to improve the decoder efficiency but also to speed the convergence of the iterative decoding. Simulation demonstrates that the scheme has significant improvement in the performances. In addition, the proposed constrained LDPC decoder may benefit other application.