DSpace Repository

Weighted embedded zero tree for scalable video compression

Show simple item record

dc.contributor.author Choupani, Roya
dc.contributor.author Wong, Stephan
dc.contributor.author Tolun, Mehmet R.
dc.date.accessioned 2023-02-13T12:03:53Z
dc.date.available 2023-02-13T12:03:53Z
dc.date.issued 2008
dc.identifier.citation Choupani, Roya; Wong, Stephan; Tolun, Mehmet R. (2008). "Weighted embedded zero tree for scalable video compression", Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008, 14 July 2008 through 17 July 2008, pp. 681 - 684. tr_TR
dc.identifier.isbn 1601320787
dc.identifier.isbn 9781601320780
dc.identifier.uri http://hdl.handle.net/20.500.12416/6210
dc.description.abstract Video streaming over the Internet has gained popularity during recent years mainly due to the revival of videoconferencing and videotelephony applications and the proliferation of (video) content providers. However, the heterogeneous, dynamic, and best-effort nature of the Internet cannot always guarantee a certain bandwidth for an application utilizing the Internet. Scalability has been introduced to deal with such issues (up to a certain point) by intelligently separating any information stream into multiple streams. The reception of one, several, or all stream influences the perceived quality of the information as basic, improved, or best, respectively. In addition, wavelet-based scalability combined with representation methods such as embedded zero trees (EZWs) improves the decode-ability of the stream even when only the initial part of the streams have been received. In this paper, we propose a method to improve on the compression rate of the EZW for scalability purposes by reducing the number of levels used in the tree. Therefore, the proposed method should be able to deal more efficiently with the mentioned scalability issues in low bandwidth network. Initial experimental show that the first two layers of the generated EZW are about 22.6% more concise. tr_TR
dc.language.iso eng tr_TR
dc.rights info:eu-repo/semantics/closedAccess tr_TR
dc.subject Embedded Zero Tree tr_TR
dc.subject Scalability tr_TR
dc.subject Video Coding tr_TR
dc.subject Wavelet tr_TR
dc.title Weighted embedded zero tree for scalable video compression tr_TR
dc.type conferenceObject tr_TR
dc.relation.journal Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008 tr_TR
dc.identifier.startpage 681 tr_TR
dc.identifier.endpage 684 tr_TR
dc.contributor.department Çankaya Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü tr_TR


Files in this item

Files Size Format View

There are no files associated with this item.

This item appears in the following Collection(s)

Show simple item record