Abstract
Video transmission over network is increasingly gaining popularities now-a-days. The heterogeneity of network has always been a problem for transmission because of various channels and communication links having different constraints (especially for wireless networks) and end devices having different capabilities. In this paper we solve the problem for end terminals having lower display and processing capabilities through spatial transcoding which allow downscaling of videos to lower resolution. In spatial transcoding for downscaled video the new motion vectors and coefficients for output frames need to be calculated. The convectional pixel domain approach for this is computationally very expensive. We propose an efficient spatial transcoding scheme in compressed domain for adaptive content delivery of video sequences. The downscaled motion vectors are refined to improve outgoing video quality. We implemented our proposed scheme and experiments are carried out for MPEG-1 video sequences, the results are found to be promising.
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References
Brandt, J., Wolf, I.L.: Multidimensional Transcoding for Adaptive Video Streaming. In: 17th International workshop on Network and Operating Systems Support for Digital Audio and Video, NOSSDAV 2007 (2007)
Zhu, W., Yang, K., Beacken, M.: CIF-to-QCIF video bitstream down-conversion in the DCT domain. Bell Labs Technical J. 3(3), 21–29 (1998)
Bjork, N., Christopoulos, C.: Transcoder architecture for video coding. IEEE Trans. Consumer Electron. 44, 88–98 (1998)
Shanableh, T., Ghanbari, M.: Heterogeneous video transcoding to lower spatial-temporal resolutions and different encoding formats. IEEE Trans. Multimedia 2(2), 101–110 (2000)
Shen, B., Sethi, I.K., Vasudev, B.: Adaptive motion-vector resampling for compressed video down scaling. IEEE Trans. Circuits Syst. Video Technol. 9(6), 929–936 (1999)
Chen, M.J., Chu, M.C., Pan, C.W.: Efficient motion-estimation algorithm for reduced frame-rate video transcoder. IEEE Trans. Circuits Syst. Video Technol. 12(4), 269–275 (2002)
Tsai, T.H., Lin, Y.F., Lin, H.Y.: Video Transcoder in DCT-Domain Spatial Resolution Reduction Using Low-Complexity Motion Vector Refinement Algorithm. EURASIP J. Adv. Signal Processing, Article ID 467290, 15 (September 2008)
Lee, Y.R., Lin, C.W.: Visual Quality Enhancement in DCT-Domain Spatial Downscaling Transcoding Using Generalized DCT Decimation. IEEE Trans. Circuits and Syst. for Video Technol. 17(8) (2007)
Mohan, R., Smith, J.R., Li, C.: Adapting multimedia internet content for universal access. IEEE Trans. Multimedia 1(1), 104–114 (1999)
Dugad, R., Ahuja, N.: A fast scheme for image size change in the compressed domain. IEEE Trans. Circuits Syst. Video Technol. 11(4), 461–474 (2001)
Chang, S.F., Messerschmitt, D.G.: Manipulation and compositing of MC-DCT compressed video. IEEE J. Select. Areas Commun. 13(1), 1–11 (1995)
Lee, Y.R., Lin, C.W., Kao, C.C.: A DCT-domain video transcoder for spatial resolution downconversion. In: Chang, S.-K., Chen, Z., Lee, S.-Y. (eds.) VISUAL 2002. LNCS, vol. 2314, pp. 207–218. Springer, Heidelberg (2002)
Yin, P., Wu, M.: Video transcoding by reducing spatial resolution. In: IEEE Int. Conf. Image Process., vol. 1, pp. 972–975 (2000)
Berkeley Multimedia Research Center, mpeg_stat. A video analyzing tool for mpeg-1 videos (November 2008), Downloaded from http://bmrc.berkeley.edu/ftp/pub/multimedia/mpeg/stat/
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Khanwalkar, N., Tapaswi, S., Pattanaik, M. (2010). An Efficient Compressed Domain Spatial Transcoding Scheme for Adaptive Video Content Delivery. In: Qiu, G., Lam, K.M., Kiya, H., Xue, XY., Kuo, CC.J., Lew, M.S. (eds) Advances in Multimedia Information Processing - PCM 2010. PCM 2010. Lecture Notes in Computer Science, vol 6298. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-15696-0_23
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DOI: https://doi.org/10.1007/978-3-642-15696-0_23
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