This paper presents efficient memory reuse and the modified normalized partial distortion search algorithms for motion estimation of H.264/Advanced Video Coding. In addition, this paper presents multiplication-free sub-pixel interpolation and adaptive sub-pixel interpolation algorithms. The proposed memory reuse algorithm utilizes the position similarity of the predicted motion vectors among neighboring sub-macro blocks and the modified normalized partial distortion search algorithm uses an adaptive search range and the dynamic threshold methods. It can reduce a large number of memory access and can save power consumption by sharing the search range of the current block. In addition, simplifying weights of a sub-pixel interpolation filter can eliminate multiplications and the adaptive sub-pixel interpolation can reduce the number of sub-pixel search points, which can reduce memory access and hardware complexity. Therefore, the proposed algorithms are quite suitable for low power video compression.
With the rapid progress of semiconductor technology, Application Specific Instruction-set Processor (ASIP), which adopts high performance and low power of ASIC and flexibility of DSP, has become increasingly important. In this paper, the Video Specific Instruction-set Processor (VSIP) is presented. VSIP has special instructions and co-processors for computation intensive parts in video signal processing, such as inter prediction, entropy coding, de-blocking filter, etc. The proposed VSIP has been thoroughly verified using an FPGA board having the XilinxTM Virtex II. The proposed VSIP can implement a H.264/AVC decoder. The proposed VSIP is one of promising solutions for video signal processing.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.