Abstract
Transcoding is an important technique for reducing the bit rate or spatial resolution to meet the constrained transmission bandwidths and terminal capabilities. In this paper, we propose a spatial downscaling transcoding method to convert an MPEG-2 bitstream into an H.264/AVC bitstream. A novel feature of the proposed method is to focus on the fast mode decision that fully exploits the advantages of variable block-size motion compensation feature in H.264/AVC. In the transcoder, types and motion vectors of pre-encoded macroblocks are considered together to decide the new encoding block type. While maintaining a reasonable image quality, the proposed method significantly reduces the computational complexity and facilitates the video servers to provide multimedia service in real time for heterogeneous clients. Experimental results show that our method is very effective.
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References
Vetro, A., Christopoulos, C., Sun, H.: Video Transcoding Architectures and Techniques: An Overview. IEEE Signal Processing magazine (March 2003)
Wiegand, T., Sullivan, G.J., Bjntegaard, G., Luthra, A.: Overview of the H.264/AVC Video Coding Standar. IEEE Trans. Circuits Syst. for Video Technol. 13(7) (July 2003)
Bjork, N., Christopoulos, C.: Transcoder architectures for video coding. IEEE Trans. Consumer Electron. 44(1), 191–199 (1998)
Shanableh, T., Ghanbari, M.: Heterogeneous video transcoding to lower spatio-temporal resolutions and different encoding formats. IEEE Trans. Multimedia 2, 101–110 (2000)
Shen, B., Sethi, I.K., Vasudev, B.: Adaptive Motion-Vector Resampling for compressed Video Downscaling. IEEE Trans. Circuits Syst. for video Technol. 9(6) (September 1999)
Yin, P., Wu, M., Liu, B.: Video transcoding by reducing spatial resolution. In: Proc. IEEE Int. Conf. Image Processing, vol. 1, pp. 972–975 (October 2000)
Xin, J., Sun, M.T., Choi, B.S., Chun, K.W.: An HDTV-to-SDTV spatial Transcoder. IEEE Trans. Circuits Syst. for Video Technol. 12(11) (November 2002)
Shu, H.Y., Chau, L.P.: A fast arbitrary downsizing algorithm for video transcoding. In: Proc. IEEE Int. Conf. Image Processing, vol. 1, pp. I -201–204 (September 2003)
Zhang, P., Lu, Y., Huang, Q.M., Gao, W.: Mode mapping method for H.264/AVC spatial downscaling transcoding. In: Proc. IEEE Int. Conf. Image Processing (2004)
Sun, H., Kwok, W., Zdepski, J.W.: Architectures for MPEG compressed bitstream scaling. IEEE Trans. Circuits Syst. for Video Technol. 6(2) (April 1996)
Assuncao, P.A.A., Ghanbari, M.: A frequency-domain video transcoder for dynamic bitrate reduction of MPEG-2 bit streams. IEEE Trans.Circuits Syst. for Video Technol. 8, 953–967 (1998)
Tu, Y.K., Yang, J.F., Shen, Y.N., Sun, M.T.: Fast variable-size block motion estimation using merging procedure with an adaptive threshold. In: Proc. 2003 International Conf. on Multimedia and Expo, vol. 2, pp. II -789–792 (July 2003)
Joch, A., Kossentini, F., Nasiopoulos, P.: A performance analysis of the ITU-T draft h.26L video coding standard. In: 12th International Packetvideo workshop (April 2002)
Liang, Y.Q., Tan, Y.P.: A New Content-Based Hybrid Video Transcoding Method. In: Proc. IEEE Int. Conf. Image Processing, October 2001, vol. 1, pp. 429–432 (2001)
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Hu, B., Zhang, P., Huang, Q., Gao, W. (2005). Reducing Spatial Resolution for MPEG-2 to H.264/AVC Transcoding. In: Ho, YS., Kim, HJ. (eds) Advances in Multimedia Information Processing - PCM 2005. PCM 2005. Lecture Notes in Computer Science, vol 3768. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11582267_72
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DOI: https://doi.org/10.1007/11582267_72
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