完整後設資料紀錄
DC 欄位語言
dc.contributor.authorYu, Ya-Hueien_US
dc.contributor.authorHo, Chien-Pengen_US
dc.contributor.authorTsai, Chun-Jenen_US
dc.date.accessioned2014-12-08T15:15:08Z-
dc.date.available2014-12-08T15:15:08Z-
dc.date.issued2007en_US
dc.identifier.issn1687-6172en_US
dc.identifier.urihttp://hdl.handle.net/11536/11374-
dc.identifier.urihttp://dx.doi.org/10.1155/2007/70914en_US
dc.description.abstractScalable video coding ( SVC) has been an active research topic for the past decade. In the past, most SVC technologies were based on a coarse-granularity scalable model which puts many scalability constraints on the encoded bitstreams. As a result, the application scenario of adapting a preencoded bitstream multiple times along the distribution chain has not been seriously investigated before. In this paper, a model-based multiple-adaptation framework based on a wavelet video codec, MC-EZBC, is proposed. The proposed technology allows multiple adaptations on both the video data and the content-adaptive FEC protection codes. For multiple adaptations of video data, rate-distortion information must be embedded within the video bitstream in order to allow rate-distortion optimized operations for each adaptation. Experimental results show that the proposed method reduces the amount of side information by more than 50% on average when compared to the existing technique. It also reduces the number of iterations required to perform the tier-2 entropy coding by more than 64% on average. In addition, due to the nondiscrete nature of the rate-distortion model, the proposed framework also enables multiple adaptations of content-adaptive FEC protection scheme for more flexible error-resilient transmission of bitstreams. Copyright (c) 2007 Ya-Huei Yu et al.en_US
dc.language.isoen_USen_US
dc.titleMultiple adaptations and content-adaptive FEC using parameterized RD model for embedded wavelet videoen_US
dc.typeArticleen_US
dc.identifier.doi10.1155/2007/70914en_US
dc.identifier.journalEURASIP JOURNAL ON ADVANCES IN SIGNAL PROCESSINGen_US
dc.contributor.department資訊工程學系zh_TW
dc.contributor.departmentDepartment of Computer Scienceen_US
dc.identifier.wosnumberWOS:000248445900001-
dc.citation.woscount1-
顯示於類別:期刊論文


文件中的檔案:

  1. 000248445900001.pdf

若為 zip 檔案,請下載檔案解壓縮後,用瀏覽器開啟資料夾中的 index.html 瀏覽全文。