Cited time in webofscience Cited time in scopus

Full metadata record

DC Field Value Language
dc.contributor.author Kwon, Soon-young -
dc.contributor.author Lee, Sang-Heon -
dc.contributor.author Lee, Dong Ha -
dc.date.available 2017-07-11T08:29:28Z -
dc.date.created 2017-06-25 -
dc.date.issued 2008 -
dc.identifier.isbn 1601320787 -
dc.identifier.uri http://hdl.handle.net/20.500.11750/3999 -
dc.description.abstract The H.264/AVC standard, jointly developed by the ITU-T and MPEG committees, is becoming prevalent in video industry [1]. It achieves its high coding efficiency by employing a number of advances in video coding technology. The H.264/AVC encoder adopted an adaptive rate control. But this method has a problem as it cannot predict an accurate quantization parameter (QP) for the first frame. The initial QP is decided on from among four constant values by using encoder input parameters. It does not consider encoding bits, results in significant fluctuation of the image quality and decreases the average quality of the whole coded sequence. In this paper, we propose a new algorithm for the first frame QP decision in the H.264/AVC encoder. First, after calculating the variance of the vertical pixels of the first frame, the complexity level is decided based on the variance of the vertical pixels. The prediction equation is selected using the complexity level of input video sequences. Finally, the optimal initial QP is obtained based on the target bitrate. Experimental results and analysis show that the proposed scheme has significantly increased the average PSNR, reduced the variation of bit count level, and improved the perpetual quality of the reconstructed video. -
dc.publisher Image Processing and Computer Vision -
dc.relation.ispartof Proceedings of the 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008 -
dc.title Efficient rate control for the first frame in H.264/AVC -
dc.type Conference Paper -
dc.identifier.scopusid 2-s2.0-62749141213 -
dc.identifier.bibliographicCitation 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008, pp.155 - 159 -
dc.citation.conferenceDate 2008-07-14 -
dc.citation.conferencePlace FR -
dc.citation.conferencePlace Las Vegas, NV -
dc.citation.endPage 159 -
dc.citation.startPage 155 -
dc.citation.title 2008 International Conference on Image Processing, Computer Vision, and Pattern Recognition, IPCV 2008 -
dc.type.docType Conference Paper -
Files in This Item:

There are no files associated with this item.

Appears in Collections:
Division of Intelligent Robotics 2. Conference Papers
Division of Automotive Technology 2. Conference Papers

qrcode

  • twitter
  • facebook
  • mendeley

Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.

BROWSE