Abstract
Multiview video coding (MVC) plays an important role in three-dimensional video applications. Joint Video Team developed a joint multiview video model (JMVM) in which full-search algorithm is employed in macroblock mode selection to provide the best rate distortion performance for MVC. However, it results in a considerable increase in encoding complexity. We propose a hybrid fast macroblock mode selection algorithm after analyzing the full-search algorithm of JMVM. For nonanchor frames of the base view, the proposed algorithm halfway stops the macroblock mode search process by designing three dynamic thresholds. When nonanchor frames of the other views are being encoded, the macroblock modes can be predicted from the frames of the neighboring views due to the strong correlations of the macroblock modes. Experimental results show that the proposed hybrid fast macroblock mode selection algorithm promotes the encoding speed by 2.37 ~ 9.97 times without noticeable quality degradation compared with the JMVM.
Highlights
With the advancement in camera and display technologies, a wide variety of three-dimensional (3D) video applications, including free viewpoint video, free viewpoint television, 3D television, 3D telemedicine, 3D teleconference, and surveillance, are emerging
It has been widely recognized that multiview video coding (MVC) is one of the core technologies of 3D video applications [1,2,3,4]
85–90% complexity reduction can be achieved versus the H.264/AVC joint model with peak signal-to-noise ratio (PSNR) loss less than 0.2 dB and bit rate increase less than 3% regarding to common intermediate format (CIF) test sequences
Summary
With the advancement in camera and display technologies, a wide variety of three-dimensional (3D) video applications, including free viewpoint video, free viewpoint television, 3D television, 3D telemedicine, 3D teleconference, and surveillance, are emerging. In [18], Yin et al proposed a coding scheme which jointly optimized motion estimation and mode decision With this scheme, 85–90% complexity reduction can be achieved versus the H.264/AVC joint model with peak signal-to-noise ratio (PSNR) loss less than 0.2 dB and bit rate increase less than 3% regarding to common intermediate format (CIF) test sequences. In [22], Yin and Wang proposed a fast intermode selection algorithm It reduced the encoding time of quarter CIF test sequences by 89.94% on average by making full use of the statistical feature and correlation in spatiotemporal domain. Under the framework of the proposed algorithm, two methods are given to reduce computational complexity of macroblock mode selection in MVC with HBP prediction structure.
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