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Technical Program
Paper Detail
| Paper: | WA-P2.1 |
| Session: | Video Coding - I |
| Time: | Wednesday, October 11, 09:40 - 12:20 |
| Presentation: |
Poster
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| Title: |
MODEL-BASED FRAME-LAYER BIT ALLOCATION FOR NON-CONVERSATIONAL H.264 VIDEO |
| Authors: |
Do-Kyoung Kwon; University of Southern California | | | | | Mei-Yin Shen; University of Southern California | | | | | C.-C. Jay Kuo; University of Southern California | | |
| Abstract: |
The frame-layer bit allocation problem for non-conversational H.264 video rate control is studied in this work. For non-conversational applications, we first impose a GOP (Group of Pictures) structure on the underlying H.264 video. Then, under the assumption of frame's independence, a one-pass algorithm is developed using the Lagrange optimization framework and GOP-based rate modeling. Instead of estimating the R-D data of future frames to determine the Lagrange multiplier, we estimate the Lagrange multiplier directly from GOP rate models that specify the number of bits consumed in a GOP. It is shown by experimental results that the proposed bit allocation algorithm achieves higher picture quality than that used in the H.264 JM8.1a reference code. |
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