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18th IEEE International Conference on Image Processing, ICIP 2011, Brussels, Belgium, September 11-14, 2011; 01/2011
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Proceedings of the 2011 IEEE International Conference on Multimedia and Expo, ICME 2011, 11-15 July, 2011, Barcelona, Catalonia, Spain; 01/2011
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ABSTRACT: In all video coding standards, motion vectors are restricted to have the same resolution for the whole sequence. In this paper, we propose an adaptive motion vector resolution scheme to improve the coding efficiency. The scheme is based on an analytical model of motion compensated residue which studies the relationship between motion vector errors and the variance of the residue. With this model, the proposed scheme can adaptively select motion vector resolution with implicit signaling. Experimental results show that the proposed scheme can improve coding efficiency at slightly increased encoding complexity.
Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
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ABSTRACT: Pre-/post-processing filters obtained from lapped transforms achieve higher coding efficiency by exploiting transform block boundary correlation. Existing approaches however do not explicitly consider the impact of pre-filtering on prediction efficiency, thereby resulting in a lower overall rate-distortion performance. We present a framework where filters are designed with an objective function based on a prediction model. The post-filter is constructed so as to reverse the pre-filter processing at the decoder. We show how the pre-filters thus derived can be refined and local adaptation parameters obtained for better compression efficiency. To further enhance the performance, the mode decision is altered by separating the contribution of luma and chroma components in the rate-distortion model. The overall system performance is measured using a weighted Bjontegaard delta bitrate, showing an overall saving of 2.58% to 6.78% with respect to the “Key Technical Area” (KTA) codec. Additionally, the designed filters significantly reduce the blocking artifacts observed in KTA.
Image Processing (ICIP), 2010 17th IEEE International Conference on; 10/2010
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Proceedings of the International Conference on Image Processing, ICIP 2010, September 26-29, Hong Kong, China; 01/2010
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IEEE Transactions on Image Processing. 01/2010; 19:399-409.
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Frank Bossen,
Virginie Drugeon,
Edouard François,
Joël Jung,
Sandeep Kanumuri,
Matthias Narroschke,
Hisao Sasai,
Joel Solé,
Yoshinori Suzuki,
Thiow Keng Tan,
Thomas Wedi,
Steffen Wittmann, Peng Yin,
Yunfei Zheng
IEEE Trans. Circuits Syst. Video Techn. 01/2010; 20:1667-1675.
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Proceedings of the IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 2009, 19-24 April 2009, Taipei, Taiwan; 01/2009
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Proceedings of the International Conference on Image Processing, ICIP 2009, 7-10 November 2009, Cairo, Egypt; 01/2009
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Proceedings of the International Conference on Image Processing, ICIP 2008, October 12-15, 2008, San Diego, California, USA; 01/2008
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ABSTRACT: Modern video coding schemes such as H.264/AVC employ multi-hypothesis motion compensation for an improved coding efficiency. However, an additional cost has to be paid for the improved prediction performance in these schemes. Based on the observed high correlation among the multiple hypothesis in H.264/AVC, in this paper, we propose a new method (Prediction Matching) to jointly combine explicit and implicit prediction approaches. The first motion hypothesis on a predicted block is explicitly coded, while the eventual additional hypotheses are implicitly derived at the decoder based on the first one and the available data from previously decoded frames. Thus, the overhead to indicate motion information is reduced, while prediction accuracy may be better with respect to fully implicit multi-hypothesis prediction. Proof-of-concept simulation results show that up to 7.06% bitrate saving with respect to state-of-the-art H.264/AVC can be achieved using our Prediction Matching.
