Review the use of transmission losses to network losses

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2018-12-15 01:42:24 +00:00
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@@ -672,7 +672,7 @@ At the high-level, \ac{hevc} introduces new \ac{nal} types and also new pictures
These allow the implementation of various random-access strategies, more flexibility and higher coding efficiency than its predecessor \ac{h264}.
Another major improvement comes from the inter-frame prediction. On the one hand new high-level reference picture management was introduced, which increases the error robustness, as it explicitly defines the active reference frames and the \ac{dpb} status. On the other hand it introduces the \ac{amvp} and the Merge mode, which efficiently reduce the required bits for coding the motion information.
The newly developed coding tools and prediction modes described in this chapter have resulted in approximately 50\% of bitrate savings for the same subjective quality in comparison with the previous standard.
However, such high coding efficiency implies higher data dependencies, which are more sensible to data loss and increase the error propagation to subsequent coding structures. Therefore, evaluating the impact of transmission errors and error propagation in \ac{hevc} is of most importance to develop efficient techniques to recover from data loss and reduce the error propagation.
However, such high coding efficiency implies higher data dependencies, which are more sensible to data loss and increase the error propagation to subsequent coding structures. Therefore, evaluating the impact of network errors and error propagation in \ac{hevc} is of most importance to develop efficient techniques to recover from data loss and reduce the error propagation.