A content-adaptive distortion-quantization model for H.264/AVC and its applications

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Title:	A content-adaptive distortion-quantization model for H.264/AVC and its applications
Authors:	蘇柏齊;Wu, Ching-Yu;Su, Po-Chyi
Contributors:	資訊電機學院資訊工程學系
Keywords:	Applied sciences;Bit rate;Constant peak signal to noise ratio (PSNR);Distortion measurement;distortion-quantization;Encoding;Exact sciences and technology;H.264/AVC;Image processing;Information, signal and communications theory;PSNR;Quality control;rate control;Sampling, quantization;Signal and communications theory;Signal processing;sum of absolute transformed difference (SATD);Systems, networks and services of telecommunications;Telecommunications;Telecommunications and information theory;Teletraffic;Training;Video coding
Date:	2014-01-01
Issue Date:	2026-04-23 13:02:30 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
Abstract:	摘要： Accurately estimating the resultant quality or distortion associated with quantization parameter (QP) is very helpful to video encoding. In this research, a content-adaptive distortion-quantization model for H.264/AVC is proposed to predict the distortion level, which is defined as the difference between the original video frame and the decoded one in the sum of squared errors. The proposed model has only one adjustable parameter related to the macroblock content and provides a mapping between QP and the corresponding distortion before the exact encoding process. Given a targeted frame quality measured in peak signal to noise ratio (PSNR), this model can help to assign a suitable QP value to each frame. Two applications are then presented, i.e., the single-pass constant frame PSNR coding and the two-pass coding with the additional bitrate or storage constraint, both of which may facilitate such applications of video archiving and editing. The experimental results show that the targeted PSNR of each decoded frame can be achieved effectively by the proposed mechanism. 其他題名： TCSVT 出版者： New York, NY: IEEE 出版日期： 2014-01 出處： IEEE transactions on circuits and systems for video technology, 2014-01, Vol.24 (1), p.113-126 資源來源： IEEE Electronic Library (IEL) 版權： 2015 INIST-CNRS 識別號： ISSN: 1051-8215 識別號： EISSN: 1558-2205 識別號： DOI: 10.1109/TCSVT.2013.2273656 識別號： CODEN: ITCTEM
Appears in Collections:	[Department of Computer Science and information Engineering] journal & Dissertation

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