2026-09-19T05:24:35Zhttps://dspace.mit.edu/server/oai/requestoai:dspace.mit.edu:1721.1/333652022-01-13T07:54:29Zcom_1721.1_7582com_1721.1_7581col_1721.1_131023
Jae S. Lim and Tao Shen.
Syu, Eric
Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science.
Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
2006-07-13T15:18:30Z
2006-07-13T15:18:30Z
2005
2005
http://hdl.handle.net/1721.1/33365
62459491
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
Includes bibliographical references (leaves 57-59).
This thesis models the rate-distortion characteristics of an H.264 video compression encoder to improve its mode decision performance. First, it provides a background to the fundamentals of video compression. Then it describes the problem of estimating rate and distortion of a macroblock given limited computational resources. It derives the macroblock rate and distortion as a function of the residual SAD and H.264 quantization parameter QP. From the resulting equations, this thesis implements and verifies rate-distortion optimization on a resource-limited H.264 encoder. Finally, it explores other avenues of improvement.
by Eric Syu.
M.Eng.
59 leaves
2165564 bytes
2167944 bytes
application/pdf
application/pdf
eng
Massachusetts Institute of Technology
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http://dspace.mit.edu/handle/1721.1/7582
Electrical Engineering and Computer Science.
Implementing rate-distortion optimization on a resource-limited H.264 encoder
Thesis
application/pdf
Publication
unknown
unknown
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