Stereoscopic Video Conversion Based on Image Motion Classification and Key-Motion Detection from a Two-Dimensional Image Sequence 


Vol. 34,  No. 10, pp. 1086-1092, Oct.  2009


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  Abstract

Stereoscopic conversion has been an important and challenging issue for many 3-D video applications. Usually, there are two different stereoscopic conversion approaches, i.e., image motion-based conversion that uses motion information and object-based conversion that partitions an image into moving or static foreground object(s) and background and then converts the foreground in a stereoscopic object. As well, since the input sequence is MPEG-1/2 compressed video, motion data stored in compressed bitstream are often unreliable and thus the image motion-based conversion might fail. To solve this problem, we present the utilization of key-motion that has the better accuracy of estimated or extracted motion information. To deal with diverse motion types, a transform space produced from motion vectors and color differences is introduced. A key-motion is determined from the transform space and its associated stereoscopic image is generated. Experimental results validate effectiveness and robustness of the proposed method.

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  Cite this article

[IEEE Style]

K. Lee, J. Kim, M. Kim, "Stereoscopic Video Conversion Based on Image Motion Classification and Key-Motion Detection from a Two-Dimensional Image Sequence," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 10, pp. 1086-1092, 2009. DOI: .

[ACM Style]

Kwan-Wook Lee, Je-Dong Kim, and Man-Bae Kim. 2009. Stereoscopic Video Conversion Based on Image Motion Classification and Key-Motion Detection from a Two-Dimensional Image Sequence. The Journal of Korean Institute of Communications and Information Sciences, 34, 10, (2009), 1086-1092. DOI: .

[KICS Style]

Kwan-Wook Lee, Je-Dong Kim, Man-Bae Kim, "Stereoscopic Video Conversion Based on Image Motion Classification and Key-Motion Detection from a Two-Dimensional Image Sequence," The Journal of Korean Institute of Communications and Information Sciences, vol. 34, no. 10, pp. 1086-1092, 10. 2009.

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pISSN : 1226 - 4717
eISSN : 2287 - 3880