Rate-distortion models for error resilient video transcoding

Details Rate-distortion models for error resilient video transcoding Rate-distortion models for error resilient video transcoding

2004-02-11

2008-03-25

Banks-Harold, Marsha D. (Department: 2621)

Pulse or digital communications

Bandwidth reduction or expansion

Television or motion video signal

C375S240270, C375S240280

Reexamination Certificate

active

07349472

ABSTRACT:
A model stored in a memory accessible by a video transcoder includes a first rate-distortion function modeling a requantization of an input video. A second-rate distortion function models a resynchronization marker insertion rate for the transcoded video, and a third rate-distortion function models an intra-block insertion rate for the transcoded video.

REFERENCES:
patent: 6339450 (2002-01-01), Chang et al.
Cote, et al., “Optimal mode selection and synchronization for robust video communications over error-prone networks,” IEEE Journal on Selected Areas in Communications, vol. 18, No. 6, pp. 952-965, 2000.
Dogan, “Error-resilient video transcoding for robust inter-network communications using GPRS,” IEEE Transactions on Circuits and Systems for Video Technology, vol. 12, No. 6, pp. 453-464, 2002.
Zhang, et al., “Video coding with optimal inter/intra-mode switching for packet loss resilience,” IEEE Journal on Selected Areas in Communications, vol. 18, No. 6, pp. 966-976, 2000.
Bertsekas, “Projected Newton methods for optimization problems with simple constraints,” Tech. Rep. LIDS R-1025, MIT, Cambridge, MA, 1980.
Reyes, et al. “Error-resilient transcoding for video over wireless channels,” IEEE Journal on Selected Areas in Communications, vol. 18, No. 6, pp. 1063-1074, 2000.
Reibman et al., “Low-complexity quality monitoring of MPEG-2 video in a network,” in Proceedings IEEE International Conference on Image Processing, Sep. 2003.

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