Browsing by Author "Huang, Hsiang-Chun"
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Item type:Item, Advances in the scalable amendment of H.264/AVC(2007-01-01) ;Huang, Hsiang-Chun ;Peng, Wen-Hsiao ;Chiang, Tihao ;Hang, Hsueh-Ming交大名義發表To support clients with diverse capabilities, ISO/IEC MPEG and ITU-T form a Joint Video Team (JVT) to develop a scalable video coding (SVC) technology that uses single bitstream to provide multiple spatial, temporal, and quality (SNR) resolutions, thus satisfying low-complexity and low-delay constraints. It is an amendment of the emerging standard H.264/AVC and it provides an H.264/AVC-compatible base layer and a fully scalable enhancement layer, which can be truncated and extracted on-the-fly to obtain a preferred spatio-temporal and quality resolution. An overview of the adopted key technologies in the SVC and a comparison in coding efficiency with H.264/AVC are presented.Item type:Item, Architecture for stack robust fine granularity scalability(2005-09-08) ;Huang, Hsiang-Chun ;Wang, Chung-Neng ;Chiang, TihaoHang, Hsuch-MingThe present invention relates to an architecture for stack robust fine granularity scalability (SRFGS), more particularly, SRFGS providing simultaneously temporal scalability and SNR scalability. SRFGS first simplifies the RFGS temporal prediction architecture and then generalizes the prediction concept as the following: the quantization error of the previous layer can be inter-predicted by the reconstructed image in the previous time instance of the same layer. With this concept, the RFGS architecture can be extended to multiple layers that forming a stack to improve the temporal prediction efficiency. SRFGS can be optimized at several operating points to fit the requirements of various applications while the fine granularity and error robustness of RFGS are still remained. The experiment results show that SRFGS can improve the performance of RFGS by 0.4 to 3.0 dB in PSNR.Item type:Item, Cross-layer mobile WiMAX MAC designs for the H.264/AVC scalable video coding(2010-01-01) ;Juan, Hung-Hui ;Huang, Hsiang-Chun ;Huang, ChingYao ;Chiang, Tihao電子工程學系及電子研究所To effectively provide the QoS of streaming services in mobile WiMAX systems. this paper proposes it cross-layer design between the streaming server and mobile WiMAX base stations. We will show that for each user the Implementation Of Multiple connections with feedback Information of the available transmission bandwidth is critical for supporting H.264/AVC-based scalable video coding in which the transmission packets call be further separated into multiple levels of importance. To quantify the performance, a mobile WiMAX simulation platform including both the video encoder/decoder and IEEE 802.16e MAC controls is developed.Item type:Item, Scalable video streaming over mobile WiMAX(2007) ;Juan, Hung-Hui ;Huang, Hsiang-Chun ;Huang, ChingYao ;Chiang, Tihao電子工程學系及電子研究所In this paper, we will investigate the performance of scalable video streaming services in mobile WiMAX systems. We will show that for each user the implementation of multiple connections with feedback information of the available transmission bandwidth is critical for supporting H.264/AVC-based scalable video streaming in which the transmission packets can be further separated into multiple levels of importance. Based on a mobile WiMAX simulation platform including both the video encoder/decoder server and IEEE 802.16e MAC controls, the MAC performance evaluation and subjective test are used to quantify the visual performance between two-connection and one-connection scenarios.Item type:Item, Stack robust fine granularity scalable video coding(2006-11-01) ;Huang, Hsiang-Chun ;Chiang, Tihao ;電子工程學系及電子研究所Department of Electronics Engineering and Institute of ElectronicsA novel scalable video coding technique, namely Stack Robust Fine Granularity Scalability (SRFGS), is presented to provide both temporal and SNR scalability. The SRFGS first simplifies the temporal prediction architecture of RFGS. The approach is further generalized using a reconstructed frame from the previous time instance of the same layer to temporally predict the quantization error of the lower layer. With this concept, the RFGS architecture can be extended to multi-layer stack architecture. The SRFGS can be optimized at several operating points to meet the requirements of various applications, while maintaining the fine granularity and error robustness of RFGS. An optimized macroblock-based alpha adaptation scheme is proposed to improve the coding efficiency. A single-loop enhancement layer decoding scheme is proposed to reduce the decoder complexity. The simulation results show that SRFGS can improve the performance of RFGS by 0.4 to 3.0 dB in PSNR. SRFGS has been reviewed by the MPEG committee and ranked as one of the best algorithms according to subjective testing in the Report on Call for Evidence on Scalable Video Coding.