@inbook{68741d4a41d349af868fde66336a62fa,
title = "Rate control for low bit rate video via enhanced frame skipping",
abstract = "A scene-adaptive rate control algorithm with an enhanced frame skipping is proposed for low bit rate video coding. Most existing rate control algorithms for low bit rate video focus on bit allocation at the macroblock level under a bit rate constraint. The proposed rate control method looks at bit allocation from the frame level perspective and provides an effective bit allocation to reduce the temporal visual fluctuation of image quality such as flickering and motion jerkiness. It is demonstrated that the new rate control algorithm allocates target bits according to picture coding complexities and alleviates the problem of the frame skipping occurred by abrupt scene changes. Experimental results indicate that the proposed control method provides an effective alternative to existing frame-layer rate control for non-interactive streaming applications such as videocasting, video-monitoring, and video-based entertainment services.",
author = "Pyun, {Jae Young} and Yoon Kim and Ko, {Sung Jea}",
note = "Copyright: Copyright 2020 Elsevier B.V., All rights reserved.",
year = "2003",
doi = "10.1007/3-540-44839-x_33",
language = "English",
isbn = "3540401555",
series = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
publisher = "Springer Verlag",
pages = "302--311",
editor = "Vipin Kumar and Gavrilova, {Marina L.} and Tan, {Chih Jeng Kenneth} and Pierre L{\textquoteright}Ecuyer and Tan, {Chih Jeng Kenneth}",
booktitle = "Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)",
}