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https://doi.org/10.1...arrow_drop_down
https://doi.org/10.1007/118643...
Part of book or chapter of book . 2006 . Peer-reviewed
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DBLP
Conference object . 2025
Data sources: DBLP
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Fast Mode Decision for H.264/AVC Using Mode Prediction

Authors: Song-Hak Ri; Jörn Ostermann;

Fast Mode Decision for H.264/AVC Using Mode Prediction

Abstract

In this paper, we present a new method to speed up the mode decision process using mode prediction. In general, video coding exploits spatial and temporal redundancies between video blocks, in particular temporal redundancy is a crucial key to compress video sequence with little loss of image quality. The proposed method determines the best coding mode of a given macroblock by predicting the mode and its rate-distortion (RD) cost from neighboring MBs in time and space. Compared to the H.264/AVC reference software, the simulation results show that the proposed method can save up to 53% total encoding time with up to 2.4% bit rate increase at the same PSNR.

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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