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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: Scalable Video Coding (SVC) has been approved as the extension of the H.264/AVC video coding standard recently. In current spatial scalability scheme, the technique to examine both inter modes with residual prediction and without residual prediction for enhancement layers can achieve the highest possible coding efficiency, but it's typically one of the most time-consuming parts of a video encoder. In this paper, we propose a method to skip half of motion estimation processes under "inter modes without residual prediction" based on the motion vector predictor selection under "inter modes with residual prediction". Experimental results show that our proposed scheme can achieve up to 24% time saving for motion estimation in the enhancement layer and meanwhile the coding efficiency can be preserved very well.
Picture Coding Symposium, 2009. PCS 2009; 06/2009
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Advances in Multimedia Information Processing - PCM 2009, 10th Pacific Rim Conference on Multimedia, Bangkok, Thailand, December 15-18, 2009 Proceedings; 01/2009
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International Symposium on Circuits and Systems (ISCAS 2009), 24-17 May 2009, Taipei, Taiwan; 01/2009
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ABSTRACT: In this paper, a line-warping based deinterlacing method will be introduced. The missing pixels in interlaced videos can be derived from the warping of pixels in horizontal line pairs. In order to increase the accuracy of temporal prediction, multiple temporal-line pairs, selected according to constant velocity model, are used for warping. The stationary pixels can be well-preserved by accuracy stationary detection. A soft switching between spatial-temporal interpolated values and temporal average is introduced in order to prevent unstable switching. Owing to above novelties, the proposed method can yield higher visual quality deinterlaced videos than conventional methods. Moreover, this method can suppress most deinterlaced visual artifacts, such as line-crawling, flickering and ghost-shadow.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, June 28 - July 2, 2009, New York City, NY, USA; 01/2009
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ABSTRACT: Long has it become a hot topic that reconstructing images of better visual quality from one or a serial of degraded ones. Although there are thousands of different restoration methods, in this paper, we focus on removing the ringing artifact caused by lossy video compression. Being a sort of restoration method, we choose the max-a-posterior (MAP) method to model this optimization problem. Quantification of the ringing artifacts serves as a prior information of the images. So it is also analyzed in this paper. The MAP optimization is further solved using a gradient decent solver. Although this is a quite classical method, there are still lots of problems with it. For settling them, we transform the solver to a filter format operation named iterative optimization filter. Experiments show that, such method could give an averaging 0.3 dB gain and in special regions more than 0.7 dB gain. What is more, as analyzed in this paper, the method is very preferable in terms of hardware implementation in several aspects.
Proceedings of the 2009 IEEE International Conference on Multimedia and Expo, ICME 2009, June 28 - July 2, 2009, New York City, NY, USA; 01/2009
