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http://dx.doi.org/10.5909/JBE.2013.18.2.297

Video Content-Based Bit Rate Estimation  

Huang, Fei (Department of Electronic Engineering, Kwangwoon University)
Lee, Jaeyong (Department of Electronic Engineering, Kwangwoon University)
Oh, Seoung-Jun (Department of Electronic Engineering, Kwangwoon University)
Publication Information
Journal of Broadcast Engineering / v.18, no.2, 2013 , pp. 297-310 More about this Journal
Abstract
In this paper, we present a model-based video bit rate estimation scheme for reducing the bit rate while maintaining a subjective quality in many video streaming services limited by network bandwidth, such as IPTV services. First, we extract major parameters which serve as an indirect measurement of frame's bits. Using those parameters, the proposed bit rate estimation scheme can extract candidate frames. Finally, the bit rate of each segment is estimated by statistical analysis and a mathematical model based on a given target quality. In experimental results, we show that the proposed scheme can reduce the bit rate on average by 43% in low-complexity video while maintaining the subjective quality. To find the appropriate bit rate based on video contents, the proposed schemes can estimate the bit rate with neither the repeated full encoding nor subjective quality test. On average, the bit rate can be automatically estimated by encoding the candidate frames of 4%.
Keywords
Video Streaming Services; IPTV; H.264/AVC; Bit Rate Estimation; Frame Complexity;
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