A lightweight H.264-based hardware accelerated image compression library
Autor: | Thomas Fogal, Peter Messmer, Jie Jiang, Cliff Woolley |
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Rok vydání: | 2016 |
Předmět: |
Computer science
business.industry Data_CODINGANDINFORMATIONTHEORY 02 engineering and technology Visualization Video encoding Compression ratio 0202 electrical engineering electronic engineering information engineering 020201 artificial intelligence & image processing Latency (engineering) business Computer hardware Image compression Data compression |
Zdroj: | LDAV |
Popis: | Hardware video encoding can lower the perceived latency for remote visualization. We have created a lightweight library that simplifies the use of NVIDIA's video compression hardware. We achieve overall latencies below 15ms with compression ratios of approximately 85:1. To verify its applicability in real world scenarios, we integrated our library into ParaView. This offloads the encoding within ParaView to the GPU and provides a 25x bandwidth reduction compared to existing image compression methods available in the tool. |
Databáze: | OpenAIRE |
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