Video codec application video processing fpga application
Video processing is currently the most popular technology in the multimedia field, and it is mainly divided into two categories: video encoding and decoding and target information recognition. In order to save the transmission bandwidth of video data, the former relies on traditional information theory, which is relatively mature. The latter is the intersection of artificial intelligence, computer and information theory and other research results in order to extract user information. development stage.
1. Video codec applicationAlthough there are hundreds of video codecs currently in use, most consumer devices use only a few codecs in order to achieve standardization and the desired codecs provide the best benchmark.
The currently commonly used Category 3 video codecs are listed below: (1) MPEG-2. This technology is still widely used today, mainly for the encoding of broadcast signals and DVD movies, and even commercial video programs currently engraved on Blu-ray DVDs are also encoded with MPEG-2. This situation is about to change as most HD DVDs are encoded using the VC-1 and H.264 standards. (2) MPEG4. The MPEG-4 formed on the basis of the MPEG-1 and MPEG-2 standards contains many components, and the total number of parts in the process of approval is 22, a total of 22. It can transmit video images of the same quality as MPEG-2 at a lower rate, and MPEG-4 introduces new concepts such as describing natural or synthetic objects to form a scene and support interaction with users, providing video program producers with Improved content protection and the ability to create more flexible, reusable content. Thanks to these improvements, video can be transmitted over broadband links, and satellite and DVB providers also use MPEG-4. (3) H.264/MPEG-4 AVC. H.264 (MPEG-4 Part 10) Advanced Video Coding (AVC) is known for its high data compression rate and quality. H.264, developed by the International Telecommunication Union Telecommunication Standards Bureau (ITU-T) video coding group, contains a wealth of video processing performance.
Video detection and tracking of moving targets is an important field of image processing and analysis applications, and is the research frontier in related fields. Mobile target video detection and tracking technology has a wide range of applications in the civil field of robot vision, traffic monitoring, visual warning, machine navigation, etc., and also plays an important role in military interception, missile television and infrared video guidance. The identifiable video behaviors include: a. sudden intrusion detection, b. moving object detection, c. motion path detection, d. legacy object detection, e. pointing proximity detection, f. removal object detection.
Among them, various coding and decoding algorithms, especially video processing algorithms, have far exceeded the requirements of traditional DSP processors. In these applications, the FPGA can be used as a coprocessor to perform performance-critical processing, or as a stand-alone video processing engine. Compared to standard digital signal processors, FPGA-constructed parallel computing features support higher sample rates and greater data throughput with up to 3 to 4 times performance and higher computational power.
Xilinx's video processing resourcesIn implementations, video processing involves complex processing of multiphase network video server converters, two-dimensional FIR filters and screen display to overlay, alpha blending, and other complex effects such as format and color space conversion. For these algorithms, Xilinx FPGAs are an ideal development platform, and its powerful DSP processing capabilities mean that it is possible to support very high resolutions (up to 1080p) and to shrink the size of large DSP arrays. And FPGAs are reprogrammable hardware that gives you the flexibility to experiment with new, high-performance, hardware-based video and image algorithms. In addition to the parallel and flexible advantages of FPGA devices, Xilinx provides three resources.
1. a lot of IP
Xilinx provides a suite of video IP blocks for quickly designing, simulating, implementing and validating video and image processing algorithms in video surveillance systems. This includes basic primitives and advanced algorithms for designing DVRs. In addition, Xilinx and its partners offer a range of compression encoding, decoding and codec solutions, from off-the-shelf cores for those who need fast implementations, and building block reference designs for users who want high quality and lower bitrates. And hardware platform. Using Xilinx FPGAs for extremely cumbersome processing tasks in certain codec modules, you can flexibly support multi-channel HD encoding, reduce or eliminate the cost savings of DSP processor arrays, and easily move from interface to further video processing The versatility and capabilities are integrated into the system to support different configurations, additional channels or new codecs in the same system. Xilinx FPGAs further reduce DVR system costs by enhancing system logic and implementing new peripherals. Xilinx and its partners also provide system interfaces for the rapid development of network video server monitoring systems: advanced memory interfaces, PCI Express, Texas Instruments VLYNQ and EMIF interfaces, hard disk interfaces and ITU-RBT656 interfaces.
2. Xilinx tools simplify design
Xilinx System Generator for DSP allows the construction and debugging of high-performance DVR systems in Simulink using the Xilinx Video IP Blockset. Develop and implement video processing algorithms with System Generator for designs that are thoroughly validated and easily implemented. Xilinx has developed a variety of pre-tested new video IP module sets that allow users to easily build video/imaging systems by dragging and dropping modules within System Generator, saving valuable time in writing these basic building blocks in HDL.
In order to handle the huge video data stream from the development board to the PC, System Generator for DSP introduces another novel high-speed hardware co-simulation (via Ethernet interface) for low latency and high traffic, building video in the System Generator environment. / Imaging system is extremely useful.
Another design tool based on the MATLAB language is the AccelDSP synthesis tool developed by Xilinx, a tool based on the advanced MATLAB language for designing DSP blocks for Xilinx FPGAs. This tool enables automatic conversion from floating point to fixed point, generates a synthesizable VHDL or Verilog language, and creates a testbench for verification. And you can directly use the MATLAB algorithm to generate a fixed-point C++ model or System Generator module. AccelDSP is a key component of the Xilinx XtremeDSP solution, which combines state-of-the-art FPGAs, design tools, intellectual property cores, and partnerships.
3. Development board resources
In order to speed up the user's implementation of the required video processing resources, Xilinx provides a large number of development board resources, and also discloses the schematic and PCB diagram of the corresponding development board. The guide provides a brief introduction to the video starter kit and describes the Xilinx provided by the kit. Software installation method. On the development board provided by Xilinx, the corresponding video processing products can be quickly developed through advanced design tools and off-the-shelf IP cores.
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