Design Of Low-Complexity Video Codec Based On Compressive Sensing

With the development of embedded video acquisition nodes and wireless video surveillance systems, traditional video coding methods could not meet the needs of less computing complexity any more, as well as the urgent power consumption. So a low-complexity video coding method is proposed that the encoder should be as simple as possible. Meanwhile, the novel video coding method ought to have high compression efficiency due to the limitation of communication bandwidth and transmission power.This paper carried out three parts of work on the topic of low-complexity video coding method design.In this work, a low-complexity video coding method based on Compressive Sensing (CS) is proposed which the video codec is two-way. One way is Key-frame encoded by traditional intra coding approach. The other one is CS-frame encoded by measuring the residual of the CS-frame with the adjacent Key-frame. So, the proposed video coding method not only has low complexity, but also high compression ratio. In order to improve decoding quality and save decoding time, CS frames are divided into several blocks to encode. The simulation results show that compared to H.264Intra, H.264No Motion and DISCOVER, the proposed codec consumes less computation time than the other three methods. Also with the increase of compression ratio, the decoding quality is comparable with the other three approaches.A low-complexity compressive sensing video encoder framework with application-aware configurable mechanism is proposed in this paper, where novel encoding methods are exploited based on the practical purposes of the real applications to reduce the coding complexity effectively and improve the compression ratio (CR). Moreover, the group of processing (GOP) size and the measurement matrix size can be configured on the encoder side according to the post-analysis requirements of an application example of object tracking to increase the CR of encoder as best as possible. Simulations show the proposed framework of encoder could achieve60X of CR when the tracking successful rate (SR) is still keeping above90%.Hardware implementation of low-complexity video coding method using CS is completed and also the consumption of hardware resource is analyzed. The proposed video encoder average energy consumption for each QCIF frame is69%of the JPEG when the compression ratio is10, which fully illustrated the low complexity of proposed video encoder.