کد مقاله کد نشریه سال انتشار مقاله انگلیسی نسخه تمام متن
537453 870822 2015 13 صفحه PDF دانلود رایگان
عنوان انگلیسی مقاله ISI
Two-level sliding-window VBR control algorithm for video on demand streaming
موضوعات مرتبط
مهندسی و علوم پایه مهندسی کامپیوتر چشم انداز کامپیوتر و تشخیص الگو
پیش نمایش صفحه اول مقاله
Two-level sliding-window VBR control algorithm for video on demand streaming
چکیده انگلیسی


• A VBR controller for hierarchical video coding is proposed.
• The algorithm is specifically tailored for the HEVC standard.
• A sliding-window strategy aims at smoothing the bit resource allocation.
• This long-term bit allocation approach involves the reduction of PSNR fluctuations.
• Good PSNR consistency is especially achieved in few minutes long sequences.

A two-level variable bit rate (VBR) control algorithm for hierarchical video coding, specifically tailored for the new High Efficiency Video Coding (HEVC) standard, is presented here. A long-term level monitors the current bit count along a sliding window of a few seconds, comprising several intra-periods (IPs) and shifted on an IP basis. This long-term view allows the accommodation of the naturally occurring rate variations at a slow pace, avoiding the annoying sharp quality changes commonly appearing when non-sliding window approaches are used. The bit excesses or defects observed at this level are evenly delivered to a short-term level mechanism that establishes target bit budgets for a narrower sliding window covering a single IP and shifting on a frame basis. At this level, an adequate quantization parameter is estimated to comply with the designated target bit rate. Recommended test conditions as well as two few minutes long video sequences with scene cuts have been used for the assessment of the proposed VBR controller. Comparisons with a state-of-the-art rate control algorithm have produced good results in terms of quality consistency, in exchange for moderate rate-distortion performance losses.

ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Signal Processing: Image Communication - Volume 36, August 2015, Pages 1–13
نویسندگان
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