Proceedings 2003 International Conference on Image Processing (Cat. No.03CH37429)
DOI: 10.1109/icip.2003.1247328
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An error concealment algorithm for streaming video

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Cited by 33 publications
(11 citation statements)
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“…In this paper we have compared the proposed technique with various approaches discussed in [7], [10], [11], [12], [13], [14], [15], [16]. The said techniques are either complex to implement or require additional memory for performing concealment which would not be suitable for real-time applications especially on hand-held devices.…”
Section: Discussionmentioning
confidence: 99%
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“…In this paper we have compared the proposed technique with various approaches discussed in [7], [10], [11], [12], [13], [14], [15], [16]. The said techniques are either complex to implement or require additional memory for performing concealment which would not be suitable for real-time applications especially on hand-held devices.…”
Section: Discussionmentioning
confidence: 99%
“…These methods are thus not suitable to perform real-time error concealment. Researchers in [14], [15] use MVs from previous frames to estimate the lost MVs in current frame, thereby increasing decoder memory requirement. The Pixel based Overlapped Block Error Concealment (P-OBEC) and Motion Vector OBEC (MV-OBEC) [16] provide satisfactory concealment, but at the cost of increasing the overhead on the decoder performance.…”
Section: Current Techniquesmentioning
confidence: 99%
“…(2) we determine where the small block may located in frame t using this motion vector information whole-frame loss (12,6) filter. The same way can be used to calculate all pixels in frame t.…”
Section: Whole-frame Loss Concealment With Improved Backward Motion Ementioning
confidence: 99%
“…S.Belfore et al proposed an EC algorithm for the whole-frame loss based on multiframe optical flow estimation (CAP) [4]. The algorithm exploits motion vector (MV) information of last received frames and estimates the motion of the lost frame.…”
Section: Releated Workmentioning
confidence: 99%