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|Title:||DCT-based video frame-skipping transcoder|
Frame skipping transcoder
Adaptive transcoding architecture
MC macroblocks transcoding
|Source:||Proceedings of the 2003 IEEE International Symposium on Circuits and Systems : ISCAS 2003 : Sunday, May 25-Wednesday, May 28, 2003, Bangkok, Thailand, p. II656-II659 How to cite?|
|Abstract:||Due to high computational complexity and quality degradation introduced by conventional frame-skipping transcoders, a DCT-based video frame-skipping transcoder is proposed recently. However, the transcoding process of the motion compensated macroblocks in the DCT domain becomes the bottleneck since IDCT and DCT processes are required. In this paper, we propose a new architecture of the frame-skipping transcoder to reduce the computational complexity of motion compensated macroblocks in the frame-skipping process. The new architecture transcodes the dominant region of an MC macroblock in the DCT domain by making use of the DCT coefficients from the incoming bistream and some pre-computed shifting operators. By using OUT proposed shifted version of the dominant vector, the re-encoding errors introduced in the dominant region can be avoided. On the other hand, an adaptive transcoding architecture to transcode the boundary of MC marcoblocks and to perform error compensation of MC macroblocks boundary is also proposed. Experimental results show that, as compared to the conventional transcoder and DCT-based transcoder, the new architecture for frame-skipping transcoder is more robust to noise, gives rise to fewer requantization errors, and requires simple computational complexity.|
|Rights:||© 2003 IEEE. Personal use of this material is permitted. However, permission to reprint/republish this material for advertising or promotional purposes or for creating new collective works for resale or redistribution to servers or lists, or to reuse any copyrighted component of this work in other works must be obtained from the IEEE.|
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|Appears in Collections:||Conference Paper|
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Checked on Oct 17, 2016
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