Video processor basics for consumer applications
By Berkeley Design Technology, Inc.,
Apr 13 2006 (16:05 PM), Courtesy of Video/Imaging DesignLine
Video compression algorithms ("codecs") manipulate video signals to dramatically reduce the storage and bandwidth required while maximizing perceived video quality. Understanding the operation of video codecs is essential for developers of embedded systems, processors, and tools targeting video applications. For example,understanding video codecs’ processing and memory demands is key to processor selection and software optimization.
In this article, we explore the operation and characteristics of video codecs. We explain basic video compression algorithms, including still-image compression, motion estimation, artifact reduction, and color conversion. We discuss the demands codecs make on processors and the consequences of these demands.
Related Semiconductor IP
- HBM4 PHY IP
- Ultra-Low-Power LPDDR3/LPDDR2/DDR3L Combo Subsystem
- MIPI D-PHY and FPD-Link (LVDS) Combinational Transmitter for TSMC 22nm ULP
- VIP for Compute Express Link (CXL)
- HBM4 Controller IP
Related Articles
- Consumer IC Advances -> Christmas list: tricks to enhance audio, video
- Processor Architecture for High Performance Video Decode
- Real-Time Video System Design Based on the NIOS II Processor and µCLinux
- Low Power USB 2.0 PHY IP for High-Volume Consumer Applications
Latest Articles
- Making Strong Error-Correcting Codes Work Effectively for HBM in AI Inference
- Sensitivity-Aware Mixed-Precision Quantization for ReRAM-based Computing-in-Memory
- ElfCore: A 28nm Neural Processor Enabling Dynamic Structured Sparse Training and Online Self-Supervised Learning with Activity-Dependent Weight Update
- A 14ns-Latency 9Gb/s 0.44mm² 62pJ/b Short-Blocklength LDPC Decoder ASIC in 22FDX
- Pipeline Stage Resolved Timing Characterization of FPGA and ASIC Implementations of a RISC V Processor