In this paper we focus on the design methodology to propose a design that is more flexible than ASIC solution and more efficient than the processor-based solution for H.264 video decoder. We explore the memory access bandwidth requirement and different software/hardware partitions so as to propose a configurable architecture adopting a DEM (Data Exchange Mechanism) controller to fit the best tradeoff between performance and cost when realizing H.264 video decoder for different applications. The proposed architecture can achieve more than three times acceleration in performance.

This article proposes a low-cost, low-power multistandard video decoder for high definition (HD) video applications. The proposed design supports multiple-standard (JPEG baseline, MPEG-1/2/4 Simple Profile (SP), and H.264 Baseline Profile (BP)) video decoding through interactive parsing control and common parameter bus interface. In order to reduce hardware cost, the shared adder-based structure and reusable data management are proposed to achieve hardware sharing and reduce internal memory size, respectively. In addition, the proposed design is optimized through reducing memory bandwidth by increasing both data reuse amount and burst length of memory access as well as eliminating cycle overhead in data access for supporting HD video decoding with single AHB-based SDR memory. The proposed 252Kgates/4.9kB/71mW/0.13μm multi-standard video decoder reduces 72% in gate count and 87% in power consumption as compared to the state-of-the-art design, when operating at 120MHz for real-time HD1080 video decoding with single AHB-based SDR memory.

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Multithreading and multi-core processing have been shown to be powerful approaches for boosting a system performance by taking advantage of parallelism in applications. This paper presents a processor design by unifying RISC and multithreading DSP for the sophisticated multimedia applications with advanced standards such as H.264. The proposed design not only minimizes integration costs for embedded multithreading/multi-core design by independent coherent threads, but also reduces the memory bandwidth requirements by one-stop streaming buffer and a very fast data exchange mechanism. With the proposed techniques and appropriate programming model, we can achieve 78% reduction of memory bandwidth and 89% reduction of processing time in H.264 video encoding, compared to traditional single stream micro-processor.