作者: Christophe Deknudt , Franc̨ois-Xavier Coudoux , Patrick Corlay , Marc Gazalet , Mohamed Gharbi
DOI: 10.1007/978-3-319-02895-8_1
关键词: Transcoding 、 Computer science 、 Scalability 、 Bit Rate Reduction 、 Image resolution 、 Data compression 、 Granularity 、 Low complexity 、 Image quality 、 Real-time computing
摘要: In this paper we propose a new H.264 SVC transrating architecture for spatially scalable compressed video streams. The algorithm is low complexity based, it applies to pre-encoded streams and allows fine bit rate granularity while keeping highest spatial resolution. Simulation results demonstrate that transcoded produce satisfying picture quality even at reduction up 66%. comparison with MGS shows the proposed aslgorithm offers performances compared when remains limited. Moreover scalability obtained thanks our if bitstream has not been processed using right from start.