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A unified and complexity scalable entropy coding scheme for video compression

: Preiß, Matthias; Marpe, Detlev; Bross, Benjamin; George, Valerie; Kirchhoffer, Heiner; Nguyen, Tung; Siekmann, Mischa; Stegemann, Jan; Wiegand, Thomas


Institute of Electrical and Electronics Engineers -IEEE-; IEEE Signal Processing Society:
19th IEEE International Conference on Image Processing, ICIP 2012. Vol.1 : Lake Buena Vista, Orlando, Florida, USA, 30 September - 3 October 2012; proceedings
Piscataway/NJ: IEEE, 2012
ISBN: 978-1-4673-2534-9 (Print)
ISBN: 978-1-4673-2533-2
ISBN: 978-1-4673-2532-5 (Online)
International Conference on Image Processing (ICIP) <19, 2012, Orlando/Fla.>
Fraunhofer HHI ()

The state-of-the-art hybrid video coding standard H.264/AVC defines two entropy-coding schemes with different complexity-performance trade-offs. Supporting these two schemes within a single standard raises several problems ranging from higher efforts for product development to increased silicon costs for hardware implementations. To overcome these issues, this work proposes a unified and complexity-scalable entropy-coding framework that is based on PIPE/V2V. The proposed framework uses a single set of tools for all configurations and achieves the same complexity-performance trade-offs as the existing entropy-coding schemes through scalability.