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http://dx.doi.org/10.3837/tiis.2014.03.019

Video Content-Based Bit Rate Estimation Scheme for Transcoding in IPTV Services  

Cho, Hye Jeong (AV Research and Development Laboratory, ARION Technology Inc.)
Sohn, Chae-Bong (Department of Electronics and Communications Enginering, Kwangwoon University)
Oh, Seoung-Jun (Department of Electronic Enginering, Kwangwoon University)
Publication Information
KSII Transactions on Internet and Information Systems (TIIS) / v.8, no.3, 2014 , pp. 1040-1057 More about this Journal
Abstract
In this paper, a new bit rate estimation scheme is proposed to determine the bit rate for each subclass in an MPEG-2 TS to H.264/AVC transcoder after dividing an input MPEG-2 TS sequence into several subclasses. Video format transcoding in conventional IPTV and Smart TV services is a time-consuming process since the input sequence should be fully transcoded several times with different bit-rates to decide the bit-rate suitable for a service. The proposed scheme can automatically decide the bit-rate for the transcoded video sequence in those services which can be stored on a video streaming server as small as possible without losing any subject quality loss. In the proposed scheme, an input sequence to the transcoder is sub-classified by hierarchical clustering using a parameter value extracted from each frame. The candidate frames of each subclass are used to estimate the bit rate using a statistical analysis and a mathematical model. Experimental results show that the proposed scheme reduces the bit rate by, on an average approximately 52% in low-complexity video and 6% in high-complexity video with negligible degradation in subjective quality.
Keywords
IPTV; Smart TV; video transcoder; automatic bit rate estimation; QoE; candidate frame; hierarchical clustering;
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