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 journalConference articlepeer-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 languageEnglish
Article number6890247
JournalProceedings - IEEE International Conference on Multimedia and Expo
Volume2014-September
Issue numberSeptmber
DOIs
Publication statusPublished - 2014 Sep 3
Externally publishedYes
Event2014 IEEE International Conference on Multimedia and Expo, ICME 2014 - Chengdu, China
Duration: 2014 Jul 142014 Jul 18

Keywords

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

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Computer Science Applications

Fingerprint

Dive into the research topics of 'A joint content adaptive Rate-Quantization model and region of interest intra coding of H.264/AVC'. Together they form a unique fingerprint.

Cite this