Title | ||
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Refreshment need metrics for improved shape and texture object-based resilient video coding |
Abstract | ||
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Video encoders may use several techniques to improve error resilience. In particular, for video encoders that rely on predictive (inter) coding to remove temporal redundancy, intra coding refreshment is especially useful to stop error propagation when errors occur in the transmission or storage of the coded streams, which can cause the decoded quality to decay very rapidly. In the context of object-based video coding, the video encoder can apply intra coding refreshment to both the shape and the texture data. In this paper, shape refreshment need and texture refreshment need metrics are proposed which can be used by object-based video encoders, notably MPEG-4 video encoders, to determine when the shape and the texture of the various video objects in the scene should be refreshed in order to improve the decoded video quality, e.g., for a given bit rate. |
Year | DOI | Venue |
---|---|---|
2003 | 10.1109/TIP.2003.809018 | IEEE Transactions on Image Processing |
Keywords | Field | DocType |
video quality,decoding,resilience,data compression,indexing terms,redundancy,error propagation,layout,image texture | Computer vision,Pattern recognition,Image texture,Computer science,Multiview Video Coding,Coding (social sciences),Video tracking,Encoder,Artificial intelligence,Data compression,Video quality,Rate–distortion optimization | Journal |
Volume | Issue | ISSN |
12 | 3 | 1057-7149 |
Citations | PageRank | References |
2 | 0.42 | 4 |
Authors | ||
2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Luis Ducla Soares | 1 | 226 | 27.77 |
Fernando Pereira | 2 | 17717 | 2124.79 |