Implementing rate-distortion optimization on a resource-limited H.264 encoder
Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005.
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| Other Authors: | |
| Format: | Thesis |
| Language: | eng |
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Massachusetts Institute of Technology
2006
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| Online Access: | http://hdl.handle.net/1721.1/33365 |
| _version_ | 1826202644292567040 |
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| author | Syu, Eric |
| author2 | Jae S. Lim and Tao Shen. |
| author_facet | Jae S. Lim and Tao Shen. Syu, Eric |
| author_sort | Syu, Eric |
| collection | MIT |
| description | Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 2005. |
| first_indexed | 2024-09-23T12:12:24Z |
| format | Thesis |
| id | mit-1721.1/33365 |
| institution | Massachusetts Institute of Technology |
| language | eng |
| last_indexed | 2024-09-23T12:12:24Z |
| publishDate | 2006 |
| publisher | Massachusetts Institute of Technology |
| record_format | dspace |
| spelling | mit-1721.1/333652019-04-11T02:02:15Z Implementing rate-distortion optimization on a resource-limited H.264 encoder Syu, Eric Jae S. Lim and Tao Shen. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Massachusetts Institute of Technology. Dept. of Electrical Engineering and Computer Science. Electrical Engineering and Computer Science. 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. 2006-07-13T15:18:30Z 2006-07-13T15:18:30Z 2005 2005 Thesis http://hdl.handle.net/1721.1/33365 62459491 eng M.I.T. theses are protected by copyright. They may be viewed from this source for any purpose, but reproduction or distribution in any format is prohibited without written permission. See provided URL for inquiries about permission. http://dspace.mit.edu/handle/1721.1/7582 59 leaves 2165564 bytes 2167944 bytes application/pdf application/pdf application/pdf Massachusetts Institute of Technology |
| spellingShingle | Electrical Engineering and Computer Science. Syu, Eric Implementing rate-distortion optimization on a resource-limited H.264 encoder |
| title | Implementing rate-distortion optimization on a resource-limited H.264 encoder |
| title_full | Implementing rate-distortion optimization on a resource-limited H.264 encoder |
| title_fullStr | Implementing rate-distortion optimization on a resource-limited H.264 encoder |
| title_full_unstemmed | Implementing rate-distortion optimization on a resource-limited H.264 encoder |
| title_short | Implementing rate-distortion optimization on a resource-limited H.264 encoder |
| title_sort | implementing rate distortion optimization on a resource limited h 264 encoder |
| topic | Electrical Engineering and Computer Science. |
| url | http://hdl.handle.net/1721.1/33365 |
| work_keys_str_mv | AT syueric implementingratedistortionoptimizationonaresourcelimitedh264encoder |