Creating multi-standard, multi-resolution video engines using configurable processors
September 15, 2006 -- videsignline.com
Customize the processor to your video application by creating instructions, register files, functional units and interfaces that accelerate the processing.
The explosive growth of consumer electronics and, specifically, handheld devices such as cellular phones, PDAs, and portable media players (PMPs) has drastically changed the requirements placed on the end-silicon providers. These silicon providers can no longer design ICs that are targeted at only one or two multimedia codecs or wireless standards. Consumers expect their devices to play media from different sources, coded using different standards, and downloaded using a variety of different wireless standards. Therefore, a new, more flexible design approach must be taken that provides for easy adoption of new media standards. In this article, we focus on the challenges and opportunities for video decoder and encoder engines.
To read the full article, click here
Related Semiconductor IP
- USB 4.0 V2 PHY - 4TX/2RX, TSMC N3P , North/South Poly Orientation
- FH-OFDM Modem
- NFC wireless interface supporting ISO14443 A and B with EEPROM on SMIC 180nm
- PQC CRYSTALS core for accelerating NIST FIPS 202 FIPS 203 and FIPS 204
- UCIe Controller baseline for Streaming Protocols for ASIL B Compliant, AEC-Q100 Grade 2
Related White Papers
- A configurable FPGA-based multi-channel high-definition Video Processing Platform
- Performance Evaluation of Inter-Processor Communication Mechanisms on the Multi-Core Processors using a Reconfigurable Device
- Configurable Processors for Video Processing SOCs
- Power Optimization using Multi BIT flops and MIMCAPs in 16nm technology and below
Latest White Papers
- FastPath: A Hybrid Approach for Efficient Hardware Security Verification
- Automotive IP-Cores: Evolution and Future Perspectives
- TROJAN-GUARD: Hardware Trojans Detection Using GNN in RTL Designs
- How a Standardized Approach Can Accelerate Development of Safety and Security in Automotive Imaging Systems
- SV-LLM: An Agentic Approach for SoC Security Verification using Large Language Models