A joint content adaptive Rate-Quantization model and region of interest intra coding of H.264/AVC

Ching Yu Wu; Po Chyi Su; Chia Hung Yeh; Hui Chun Hsu

doi:10.1109/ICME.2014.6890247

A joint content adaptive Rate-Quantization model and region of interest intra coding of H.264/AVC

Ching Yu Wu, Po Chyi Su, Chia Hung Yeh, Hui Chun Hsu

Department of Computer Science and Information Engineering

Research output: Contribution to journal › Conference article › peer-review

2 Scopus citations

Abstract

Assigning an appropriate Quantization Parameter (QP) to the Intra-coded frames is important to the video coding. In this research, a content adaptive Rate-Quantization (R-Q) model is presented to predict the bit usage of Intra-coded frames in H.264/AVC. The relationship between the QP of a macroblock and the block complexity is derived so that a suitable QP can be decided under a target bit-rate. Since the proposed model is built on macroblocks, Region of Interest (ROI) coding can also be achieved. By adjusting the QP value at the macroblock level, more bits can be assigned to the ROI to better maintain its perceptual quality. The experimental results show the feasibility of the proposed R-Q model.

Original language	English
Article number	6890247
Journal	Proceedings - IEEE International Conference on Multimedia and Expo
Volume	2014-September
Issue number	Septmber
DOIs	https://doi.org/10.1109/ICME.2014.6890247
State	Published - 3 Sep 2014
Event	2014 IEEE International Conference on Multimedia and Expo, ICME 2014 - Chengdu, China Duration: 14 Jul 2014 → 18 Jul 2014

Keywords

H.264/AVC
Rate Control
Rate-Quantization Model
ROI

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10.1109/ICME.2014.6890247

Cite this

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abstract = "Assigning an appropriate Quantization Parameter (QP) to the Intra-coded frames is important to the video coding. In this research, a content adaptive Rate-Quantization (R-Q) model is presented to predict the bit usage of Intra-coded frames in H.264/AVC. The relationship between the QP of a macroblock and the block complexity is derived so that a suitable QP can be decided under a target bit-rate. Since the proposed model is built on macroblocks, Region of Interest (ROI) coding can also be achieved. By adjusting the QP value at the macroblock level, more bits can be assigned to the ROI to better maintain its perceptual quality. The experimental results show the feasibility of the proposed R-Q model.",

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A joint content adaptive Rate-Quantization model and region of interest intra coding of H.264/AVC

Abstract

Keywords

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