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

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

2 Citations (Scopus)

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
Publication status	Published - 2014 Sept 3
Externally published	Yes
Event	2014 IEEE International Conference on Multimedia and Expo, ICME 2014 - Chengdu, China Duration: 2014 Jul 14 → 2014 Jul 18

Keywords

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

ASJC Scopus subject areas

Computer Networks and Communications
Computer Science Applications

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10.1109/ICME.2014.6890247

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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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AU - Su, Po Chyi

AU - Yeh, Chia Hung

AU - Hsu, Hui Chun

PY - 2014/9/3

Y1 - 2014/9/3

N2 - 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.

AB - 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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KW - ROI

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

Abstract

Keywords

ASJC Scopus subject areas

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