A unified and complexity scalable entropy coding scheme for video compression
Autor: | Tung Nguyen, Preiss Matthias, Heiner Kirchhoffer, Mischa Siekmann, Benjamin Bross, Thomas Wiegand, Jan Stegemann, Valeri George, Detlev Marpe |
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Rok vydání: | 2012 |
Předmět: |
Theoretical computer science
Computer science Tunstall coding Variable-length code Huffman coding Coding tree unit Scalable Video Coding symbols.namesake Shannon–Fano coding Computer engineering Adaptive coding symbols Entropy encoding Multiview Video Coding Context-adaptive binary arithmetic coding Data compression Context-adaptive variable-length coding |
Zdroj: | ICIP |
DOI: | 10.1109/icip.2012.6466963 |
Popis: | 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. |
Databáze: | OpenAIRE |
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