Object Recognition Supported by User Interaction for Service Robots
DOI: 10.1109/icpr.2002.1048150
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Novel error concealment method with adaptive prediction of abrupt and gradual scene changes

Abstract: In this paper, the impact of the scene change on the conventional error concealment method is addressed and a novel error concealment method is proposed to improve the insufficiency of conventional temporal error concealment algorithm due to the occurrence of scene change. Combining with the low complexity scene change detection algorithm using macroblock type information, the corrupt blocks resulting from bit errors are concealed either temporally or spatially depending on whether or not an abrupt scene chang… Show more

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Cited by 5 publications
(5 citation statements)
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References 42 publications
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“…In order to achieve effective and efficient motion estimation and compensation inside digital videos, MPEG arranged video sequences into group of pictures (GoP), for which the structure of such arrangement can be illustrated in Fig 1 [5].…”
Section: Shot Boundary Detectionmentioning
confidence: 99%
See 3 more Smart Citations
“…In order to achieve effective and efficient motion estimation and compensation inside digital videos, MPEG arranged video sequences into group of pictures (GoP), for which the structure of such arrangement can be illustrated in Fig 1 [5].…”
Section: Shot Boundary Detectionmentioning
confidence: 99%
“…By using equation (5), examine MARMNn to see if the frame sequences detection process should be activated or not. Following satisfaction of equation ( 5), then frame n is abrupt scene change frame.…”
Section: Shot Boundary Detectionmentioning
confidence: 99%
See 2 more Smart Citations
“…Further, this approach only provides a limited level of video reconstruction ability at the receiver end. Techniques used in this approach include Forward Error Correction (FEC) (Wu et al, 2003) and Error Concealment (Wang and Zhu, 1998;Pei and Chou, 2004). differ among different video streams.…”
Section: Introductionmentioning
confidence: 99%