Proceedings of 3rd International Conference on Multimedia Technology(ICMT-13) 2013
DOI: 10.2991/icmt-13.2013.159
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Fast Inter Prediction for H.264 to HEVC Transcoding

Abstract: H.264 video compression standard has achieved great success in real life applications. It has been widely used for video streaming and video storage. Even Bluray Disc (BD) adopts H.264 as its specifications. However, the next generation of video compression standard HEVC is completed in 2013. Under the same subjective quality, HEVC can save about 50% bitrate compared with H.264 [1]. Thus, Abstr act. Owing to the high compression efficiency improvement of High Efficiency Video Coding (HEVC) standard, it is expe… Show more

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Cited by 5 publications
(3 citation statements)
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“…However, other factors may motivate the use of motion refinement. For example, Zong et al observed that motion refinement improves the coding efficiency when the H.264 MV and the AMVP selected by the HEVC encoder are different [8].…”
Section: Proposed Motion Propagation Algorithmmentioning
confidence: 99%
“…However, other factors may motivate the use of motion refinement. For example, Zong et al observed that motion refinement improves the coding efficiency when the H.264 MV and the AMVP selected by the HEVC encoder are different [8].…”
Section: Proposed Motion Propagation Algorithmmentioning
confidence: 99%
“…Several fast mode decision approaches have been proposed in the literature [3][4][5][6][7][8][9][10][11][12]. For example, Fang et al use H.264 modes, encoded residual and variance of motion vectors (MVs) to skip some prediction unit (PU) modes [3].…”
Section: Introductionmentioning
confidence: 99%
“…Shen et al select the H.264's dominant MV as a starting point, and refine this MV with a search range of 4 pixels [10]. Other authors propose to use a dynamic search range [3,8]. For example, Zong et al use the advanced motion vector prediction (AMVP) as a starting point, and define the search range as the distance between this point and the H.264's dominant MV [8].…”
Section: Introductionmentioning
confidence: 99%