Abstract
Very low bit-rate video coding using arbitrary shaped patterns to represent moving regions in macroblocks has very good potential for improved coding efficiency. For any pattern based coding similarity threshold is used as a matching criterion between a moving region and a pattern. This metric together with quantization can control the coding efficiency curve. Unlike the quantization step size, the benefit of this metric is that it does not need to be transmitted any information in the decoder. Finer changes of coding efficiency curve can be possible by changing the similarity threshold instead of changing the quantization level, as a result a number of bits will be reduced. In this paper, we investigate the coding efficiency curves of different similarity thresholds.
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References
Fukuhara, T., Asai, K., Murakami, T.: Very low bit-rate video coding with block partitioning and adaptive selection of two time-differential frame memories. IEEE Trans. Circuits Syst. Video Technol. 7, 212–220 (1999)
Gonzalez, R.C., Woods, R.E.: Digital Image Processing. Addison-Wesley, Reading (1992)
ISO/IEC 13818, MPEG-2 International Standard (1995)
ISO/IEC N4030, MPEG-4 International Standard (2001)
ITU-T Recommendation H.263: Video coding for low bit-rate communication. Version 2 (1998)
ITU-T Rec. H.264/ISO/IEC 14496-10 AVC. Joint Video Team (JVT) of ISO MPEG and ITU-T VCEG, JVT-G050 (2003)
Maragos, P.: Tutorial on advances in morphological image processing and analysis. Opt. Eng. 26(7), 623–632 (1987)
Paul, M., Murshed, M., Dooley, L.: A Low Bit-Rate Video-Coding Algorithm Based Upon Variable Pattern Selection. In: Proc. of 6th Int. Conf. on Signal Processing (ICSP 2002), Beijing, vol. 2, pp. 933–936 (2002)
Paul, M., Murshed, M., Dooley, L.: A new real-time pattern selection algorithm for very low bit-rate video coding focusing on moving regions. In: Proc. of IEEE Int. Conference of Acoustics, Speech, and Signal Processing (ICASSP 2003), Hong Kong, vol. 3, pp. 397–400 (2003)
Paul, M., Murshed, M., Dooley, L.: A Real-Time Pattern Selection Algorithm for Very Low Bit-Rate Video Coding Using Relevance and Similarity Metrics. To appear in IEEE trans. on circuits and systems on video technology
Paul, M., Murshed, M., Dooley, L.: An Arbitrary Shaped Pattern Selection Algorithm for VLBR Video Coding Focusing on Moving Regions. In: ECDL 2002, vol. 1, pp. 100–104 (2003)
Paul, M., Murshed, M., Dooley, L.: A New Efficient Similarity Metric and Generic Computation Strategy for Pattern-based VLBR Video Coding. In: Proc. of the IEEE Int. Con. of Acoustics, Speech, and Signal Proc., ICASSP 2004 (2004)
Shi, Y.Q., Sun, H.: Image and Video Compression for Multimedia Engineering Fundamentals. and Standards. CRC Press, Algorithms (1999)
Wong, K.-W., Lam, K.-M., Siu, W.-C.: An Efficient Low Bit-Rate Video-Coding Algorithm Focusing on Moving Regions. IEEE Trans. on Circuits and Systems for Video Technology 11(10), 1128–1134 (2001)
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Paul, M., Murshed, M. (2004). Impact of Similarity Threshold on Arbitrary Shaped Pattern Selection Very Low Bit-Rate Video Coding Algorithm. In: Aizawa, K., Nakamura, Y., Satoh, S. (eds) Advances in Multimedia Information Processing - PCM 2004. PCM 2004. Lecture Notes in Computer Science, vol 3333. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-30543-9_24
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DOI: https://doi.org/10.1007/978-3-540-30543-9_24
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