Abstract
H.264/MPEG4-AVC achieves higher compression gain in comparison to its predecessors H.263 and MPEG4 part 2. This gain partly results from the improvement of motion compensation tools especially the variable block size, the 1/4-pel motion accuracy and the access to multiple reference frames. A particular mode among all Inter modes is the Skip mode. For this mode, no information is transmitted except the signaling of the mode itself. In our previous work we have proposed a competing framework for better motion vector prediction and coding, also including the Skip mode. This proposal has recently been adopted by the Video Coding Expert Group (VCEG) in the Key Technical Area-software (KTA) of H.264, which is the starting point for future ITU standardization activities. In this paper we propose an extension of this method based on the adaptation of two families of predictors for the Skip mode according to the video content and to statistical criteria. A systematic gain upon the previous method, with an average of 8.2% of bits saved compared to H.264 standard, is reported.
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References
ITU-T. Recommendation H.264 and ISO/IEC 14496-10 AVC, Advanced video coding for generic audiovisual services version 3 (2005)
Lim, K., Sullivan, G., Wiegand, T.: Text Description of JM Reference Encoding Methods and Decoding Concealment Methods, JVT-N046 contribution, Hong-Kong (January 2005)
Suehring, K.: H.264 software coordination, http://iphome.hhi.de/suehring/tml/
Vatis, Y.: KTA software coordination, http://www.tnt.uni-hannover.de/~vatis/kta/
Wedi, T.: 1/8 -pel motion vector resolution for H.26L., ITU-T VCEG, Portland, USA, Proposal Q15-K-21 (August 2000)
Vatis, Y., Edler, B., Thanh Nguyen, D., Ostermann, J.: Two-dimensional non-separable Adaptive Wiener Interpolation Filter for H.264/AVC, ITU-T SGI 6/Q.6 Doc. VCEG-Z17, Busan (April 2005)
Narroschke, M., Musmann, H.G.: Adaptive prediction error coding in spatial and frequency domain with a fixed scan in the spatial domain. ITU-T SG16/Q.6 Doc. VCEG-AD07, Hangzhou (October 2006)
Tanizawa, A., Chujoh, T.: Adaptive Quantization Matrix Selection on KTA Software. ITU-T SG16/Q.6 Doc. VCEG-AD06, Hangzhou (October 2006)
Jung, J., Laroche, G.: Competition-Based Scheme for Motion Vector Selection and Coding. VCEG Contribution VCEG-AC06, Klagenfurt (July 2006)
Laroche, G., Jung, J., Pesquet-Popescu, B.: A spatio-temporal competing scheme for the rate-distortion optimized selection and coding of motion vectors. In: Proc. European Signal Processing Conf. Florence, Italy (2006)
Jung, J., Laroche, G., Pesquet-Popescu, B.: RD optimized competition scheme for efficient motion prediction. Invited Paper, VCIP, SPIE Electronic Imaging, January 28-Febuary 1st, 2007, San Jose, CA, USA (2007)
Tan, T.K., Sullivan, G.J., Wedi, T.: Recommended simulation common conditions for coding efficiency experiments. ITU-T VCEG, Nice, Input / Discussion VCEG-AA10 (October 2005)
Bjontegaard, G.: Calculation of average PSNR differences between RD-curves. ITU-T VCEG, Texas, USA, Proposal VCEG-M33 (April 2001)
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Laroche, G., Jung, J., Pesquet-Popescu, B. (2007). Competition Based Prediction for Skip Mode Motion Vector Using Macroblock Classification for the H.264 JM KTA Software. In: Blanc-Talon, J., Philips, W., Popescu, D., Scheunders, P. (eds) Advanced Concepts for Intelligent Vision Systems. ACIVS 2007. Lecture Notes in Computer Science, vol 4678. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-74607-2_71
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DOI: https://doi.org/10.1007/978-3-540-74607-2_71
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-74606-5
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