Quantization-distortion models for interlayer predictions in H.264/SVC spatial scalability

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Please use this identifier to cite or link to this item: https://ir.lib.ncu.edu.tw/handle/987654321/106085

Title:	Quantization-distortion models for interlayer predictions in H.264/SVC spatial scalability
Authors:	張寶基;Wang, Ren-Jie;Fang, Jiunn-Tsair;Jiang, Yan-Ting;Chang, Pao-Chi
Contributors:	資訊電機學院通訊工程學系
Keywords:	Applied sciences;Coding;Distortion;Encoding;Exact sciences and technology;H.264;Image processing;Information, signal and communications theory;Interlayers;Mathematical models;Mean square errors;Mean square values;Predictive models;Preprocessing;Quadratic programming;quality estimation;Quantization (signal);quantization-distortion model;Sampling, quantization;Scalability;scalable video coding;Signal and communications theory;Signal processing;spatial scalability;Static VAr compensators;Telecommunications and information theory;Transforms;Video coding
Date:	2014-01-01
Issue Date:	2026-04-23 13:07:57 (UTC+8)
Publisher:	Institute of Electrical and Electronics Engineers Inc.;New York, NY: IEEE
Abstract:	摘要： H.264 scalable extension (H.264/SVC) is the current state-of-the-art standard of the scalable video coding. Its interlayer prediction provides higher coding efficiency than previous standards. Since the standard was proposed, several attempts have been made to improve the performance based on its coding structure. Quantization-distortion (Q-D) modeling is a fundamental issue in video coding; therefore, this paper proposes new Q-D models for three interlayer predictions in 264/SVC spatial scalability, that is, interlayer motion prediction, intraprediction, and residual prediction. An existing single layer offline Q-D model is extended to H.264/SVC spatial scalable coding. In the proposed method, the residual power from the interlayer prediction is decomposed into the coding distortion and the prediction distortion. The prediction distortion is the mean square error (MSE) between two original signals that can be obtained by preprocessing with low complexity. Therefore, the coding distortion can be estimated based on both the quantization parameter (QP) and a precalculated prediction distortion before the encoding process. Consequently, the estimated quality based on the proposed models achieved a high accuracy of over 90% for the three interlayer predictions in average. 其他題名： TBC 出版者： New York, NY: IEEE 出版日期： 2014-06-01 出處： IEEE transactions on broadcasting, 2014-06, Vol.60 (2), p.413-419 資源來源： IEEE Electronic Library (IEL) 版權： 2015 INIST-CNRS 版權： Copyright The Institute of Electrical and Electronics Engineers, Inc. (IEEE) 2014 識別號： ISSN: 0018-9316 識別號： EISSN: 1557-9611 識別號： DOI: 10.1109/TBC.2014.2307486 識別號： CODEN: IETBAC
Appears in Collections:	[Department of Communication Engineering] journal & Dissertation

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